Written by Sig Silber
“April is the cruelest month” – but not for the strange reasons which caused T.S. Eliot to make that observation. April should be the coming of Spring but this year Winter lingers in the north and drought ravages the areas where the drought is most extreme. The Upper Mississippi and Ohio River Valleys may also face hard freezes early on. We will try to shed some light on the reasons for this in the full article. Congratulations are due to the La Nina “Condition” for surviving two Kelvin Waves to cross the finish line to be declared an official La Nina just shortly before it will be declared over probably on April 12.
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But now the death throes of the La Nina are evident by many struggles taking place and here is one.
Because we are still having winter weather, we make it easy to get a snow forecast. This is the six-hour snow forecast.
Looking further out.
NOAA Snow Forecast looking ahead to Days 4, 5 (top Row) 6 and 7 (bottom row). When you view these graphics you can click on them to enlarge them.
A. Now we return to our regular approach and focus on Alaska and CONUS (all U.S.. except Hawaii)
I am starting with a summary first for temperature and then for precipitation of small images of the three short-term maps. You can click on these maps to see larger versions. The easiest way to return to this report is by using the “Back Arrow” usually found top left corner of your screen to the left of the URL Box. Larger maps are available later in the article with the discussion and analysis.
For most people, the summary with the small images will be sufficient. Later in the article for those with sufficient interest there is a full description of the factors determining the maps shown here with a detailed analysis of the ENSO situation which so dramatically impacts the forecasts below. I have include the best graphic I have for the Day 1 -5 Period.
First Temperature
This shows magnitude rather than probability of being higher or lower than Normal and shows the middle day of the five day period. | It is difficult to compare this with the other maps that show deviation from climatology as we expect the north to be cooler than the south. But it does seem to be consistent with the 6 – 10 day map. You can still see the 50F+ difference between North and South | ||
Click to Enlarge | |||
Transitioning from the 6 to 10 day outlook on the left (also called Week One) to the 8 to 14 day outlook (Week Two) on the right → | |||
The pattern was fairly stagnant but that changed today. The Day 6 – 10 Forecast is most concerning. | |||
To the right is the week 3 and 4 Forecast. → There is a warm anomaly for Alaska. There is then a western and an eastern Northern Tier cool anomaly and a warm southern tier which is thicker to the west. | ↑ ← The transition from the 8 -14 day forecast shown above to the week 3/4 seems feasible. |
then Precipitation
Let us focus on the Current (Right Now to 5 Days Out) Weather Situation.
Water Vapor.
This view of the past 24 hours provides a lot of insight as to what is happening.
You can see from this animation that sort of a trough has pushed moisture further north recently.
Tonight, Monday evening April 9, 2018, as I am looking at the above graphic, you see the pattern continuing to be a northern tier pattern.
This graphic is about Atmospheric Rivers i.e. thick concentrated movements of water moisture. More explanation on Atmospheric Rivers can be found by clicking here or if you want more theoretical information by clicking here. The idea is that we have now concluded that moisture often moves via narrow but deep channels in the atmosphere (especially when the source of the moisture is over water) rather than being very spread out. This raises the potential for extreme precipitation events. You can convert this graphic into a flexible forecasting tool by clicking here. One can obtain views of different geographical areas by clicking here.
Re the Atmospheric River impacting California, this seems to be what is called a Pineapple Express. It is called a “Pineapple Express” because of the direction from where the storm originates namely the Hawaiian Islands. The typical evolution of that pattern is shown below.
And Now the Day One and Two CONUS Forecasts
Day One CONUS Forecast | Day Two CONUS Forecast |
Where did the snow go? Earlier I have provided snow forecasts for day 4 through 7 and a link to earlier days. Snow is becomng sparse. These graphics update and can be clicked on to enlarge but my brief comments are only applicable to what I see on Monday night prior to publishing. |
60 Hour Forecast Animation
Here is a national animation of weather fronts and precipitation forecasts with four 6-hour projections of the conditions that will apply covering the next 24 hours and a second day of two 12-hour projections the second of which is the forecast for 48 hours out and to the extent it applies for 12 hours, this animation is intended to provide coverage out to 60 hours. Beyond 60 hours, additional maps are available at links provided below. The explanation for the coding used in these maps, i.e. the full legend, can be found here although it includes some symbols that are no longer shown in the graphic because they are implemented by color coding.
You can enlarge the below daily (days 3 – 7) weather maps for CONUS by clicking on Day 3 or Day 4 or Day 5 or Day 6 or Day 7. These maps auto-update so whenever you click on them they will be forecast maps for the number of days in the future shown. You can see the next East Coast Nor’easter.
What is Behind the Forecasts? Let us try to understand what NOAA is looking at when they issue these forecasts.
Below is a graphic which highlights the forecasted surface Highs and the Lows re air pressure on Day 7. The Day 3 forecast can be found here. the Day 6 Forecast can be found here. Actually all the small graphics below can be clicked on to enlarge them.
When I look at this Day 7 forecast, there is a Low southeast of Kamchatka with surface central pressure of 988 hPa. There is a small Low in the Gulf of Alaska headed on shore with surface central pressure of 1004 hPa. This week, the Hawaiian High with surface central pressure of 1028 hPa and extending on shore will play a role in blocking storms from tracking down offshore of California but forcing them to stay north or travel down the Great Basin. There is a High with surface central pressure of 1036 hPa over Hudson Bay and a companion Low with central surface pressure of 1004 near the Great Lakes.
I provided this K – 12 write up that provides a simple explanation on the importance of semipermanent Highs and Lows and another link that discussed possible changes in the patterns of these highs and lows which could be related to a Climate Shift (cycle) in the Pacific or Global Warming. Remember this is a forecast for Day 6. It is not the current situation.
The table below showing the Day 3, Day 4, Day 5, Day 6 and Day 7 of this graphic can be useful in thinking about how the pattern of Highs and Lows is expect to move during the week.
Looking at the current activity of the Jet Stream. The below graphics and the above graphics are very related.
Not all weather is controlled by the Jet Stream (which is a high altitude phenomenon) but it does play a major role in steering storm systems especially in the winter The sub-Jet Stream level intensity winds shown by the vectors in this graphic are also very important in understanding the impacts north and south of the Jet Stream which is the higher-speed part of the wind circulation and is shown in gray on this map. In some cases however a Low-Pressure System becomes separated or “cut off” from the Jet Stream. In that case it’s movements may be more difficult to predict until that disturbance is again recaptured by the Jet Stream. This usually is more significant for the lower half of CONUS with the cutoff lows being further south than the Jet Stream. Some basic information on how to interpret the impact of jet streams on weather can be found here and here. I have not provided the ability to click to get larger images as I believe the smaller images shown are easy to read.
Current | Day 5 |
We still seem to have a split Polar Jet Stream with Northern and Southern Branches. The deep dive shown tonight for Day 5 raises questions about frost and violent weather. |
Putting the Jet Stream into Motion and Looking Forward a Few Days Also
To see how the pattern is projected to evolve, please click here. In addition to the shaded areas which show an interpretation of the Jet Stream, one can also see the wind vectors (arrows) at the 300 Mb level.
This longer animation shows how the jet stream is crossing the Pacific and when it reaches the U.S. West Coast is going every which way.
Click here to gain access to a very flexible computer graphic. You can adjust what is being displayed by clicking on “earth” adjusting the parameters and then clicking again on “earth” to remove the menu. Right now it is set up to show the 500 hPa wind patterns which is the main way of looking at synoptic weather patterns. This amazing graphic covers North and South America. It could be included in the Worldwide weather forecast section of this report but it is useful here re understanding the wind circulation patterns.
500 MB Mid-Atmosphere View
The map below is the mid-atmosphere 7-Day chart rather than the surface highs and lows and weather features. In some cases it provides a clearer less confusing picture as it shows only the major pressure gradients. This graphic auto-updates so when you look at it you will see NOAA’s latest thinking. The speed at which these troughs and ridges travel across the nation will determine the timing of weather impacts. This graphic auto-updates I think every six hours and it changes a lot. Because “Thickness Lines” are shown by those green lines on this graphic, it is a good place to define “Thickness” and its uses. The 540 Level generally signifies equal chances for snow at sea level locations. Thickness of 600 or more suggests very intensely heat and fire danger. Sometimes Meteorologists work with the 500 mb heights which provide somewhat similar readings to the “Thickness” lines but IMO provide slightly less specific information. Thinking about clockwise movements around High Pressure Systems and counter- clockwise movements around Low Pressure Systems provides a lot of information.
Here is the whole suite of similar maps for Days 3, 4, 5, 6 and repeated for Day 7.
Day 3 Above, 6 Below | Day 4 Above,7 Below | Day 5 Above. |
Here is the seven-day cumulative precipitation forecast. More information is available here.
Four – Week Outlook: Looking Beyond Days 1 to 5, What is the Forecast for the Following Three + Weeks?
I use “EC” in my discussions although NOAA sometimes uses “EC” (Equal Chances) and sometimes uses “N” (Normal) to pretty much indicate the same thing although “N” may be more definitive.
First – Temperature
6 – 10 Day Temperature Outlook issued today (Note the NOAA Level of Confidence in the Forecast Released on April 9, 2018 was 4 out of 5
8 – 14 Day Temperature Outlook issued today (Note the NOAA Level of Confidence in the Forecast Released on April 9, 2018 was 3 out of 5).
Looking further out.
Now – Precipitation
6 – 10 Day Precipitation Outlook Issued Today (Note the NOAA Level of Confidence in the Forecast Released on April 9, 2018 was 3 out of 5)
8 – 14 Day Precipitation Outlook Issued Today (Note the NOAA Level of Confidence in the Forecast Released on April 9, 2018 was 3 out of 5)
Looking further out.
Here is the 6 – 14 Day NOAA discussion released today April 9, 2018 and the Week 3/4 (assumption rich) discussion released Friday April 6, 2018
6-10 DAY OUTLOOK FOR APR 15 – 19 2018
THE 6-10 DAY FORECAST CONTINUES TO FAVOR BELOW-NORMAL TEMPERATURES OVER MUCH OF THE CONUS, UNWELCOME NEWS TO MANY GIVEN THE COLD SPRING MANY AREAS HAVE ENDURED TO THIS POINT. THE VARIOUS ENSEMBLE MEAN SOLUTIONS ARE IN GOOD AGREEMENT, WITH ANOMALOUS TROUGHING CENTERED NEAR THE GREAT LAKES. NEGATIVE 500-HPA HEIGHT ANOMALIES ARE FORECAST TO EXTEND WESTWARD TO THE WEST COAST WHERE ANOTHER ANOMALOUS TROUGH IS FORECAST. THE ECMWF SYSTEM IS THE MOST BULLISH WITH THE ANOMALOUS TROUGHING HERE; THIS SOLUTION IS SLIGHTLY FAVORED CONSIDERING THAT THE RECENT DETERMINISTIC GFS RUNS ARE MORE IN LINE WITH THE ECMWF THAN THE GEFS ENSEMBLE MEAN SOLUTIONS. ELSEWHERE OVER THE PACIFIC/NORTH AMERICA DOMAIN, THE PATTERN IS DOMINATED BY RELATIVELY SMALL-SCALE FEATURES AND FORECAST TELECONNECTION INDEX VALUES ARE LOW AMPLITUDE.
THE FORECAST OVER THE EASTERN CONUS IS DOMINATED BY A STRONG STORM SYSTEM THAT IS EXPECTED TO IMPACT THAT REGION AT THE BEGINNING OF THE PERIOD. LOCALLY HEAVY RAIN NEAR AND AHEAD OF THE SURFACE COLD FRONT LEADS TO FAIRLY HIGH PROBABILITIES FAVORING ABOVE-NORMAL PRECIPITATION OVER THE EAST, WHILE BELOW-NORMAL PRECIPITATION IS FAVORED IN THE WAKE OF THAT STORM OVER THE CENTRAL CONUS. VERY HIGH PROBABILITIES OF BELOW-NORMAL TEMPERATURES ARE DEPICTED OVER THE CENTRAL AND EASTERN CONUS, JUST TO THE WEST OF THE MEAN TROUGH AXIS, WHERE ANOMALOUS COLD AIR ADVECTION IS EXPECTED. ANOTHER ROUND OFHARD FREEZES IS LIKELY OVER PARTS OF THE PLAINS, MIDWEST, OHIO VALLEY, AND INTERIOR NORTHEAST.
WITH THE TROUGH FORECAST OVER THE WEST COAST, COOLER- AND WETTER-THAN-NORMAL CONDITIONS ARE MORE LIKELY FOR PARTS OF THE WESTERN CONUS. ABOVE-NORMAL T EMPERATURES ARE MORE LIKELY OVER THE SOUTHWEST, CONSISTENT WITH THE OBJECTIVE, SKILL-WEIGHTED FORECAST CONSOLIDATION. A WEAK ANOMALOUS TROUGH IS FORECAST OVER THE BERING SEA, ENHANCING PROBABILITIES OF ABOVE-NORMAL PRECIPITATION OVER SOUTHWESTERN ALASKA.
FORECAST CONFIDENCE FOR THE 6-10 DAY PERIOD: ABOVE AVERAGE, 4 OUT OF 5, DUE TO GOOD OVERALL AGREEMENT AMONG THE AVAILABLE FORECAST TOOLS, AND A HIGH AMPLITUDE PATTERN AT THE START OF THE PERIOD.
8-14 DAY OUTLOOK FOR APR 17 – 23 2018
THE FORECAST 500-HPA HEIGHT PATTERN FOR WEEK-2 EXHIBITS A NOTABLE EASTWARD PROGRESSION FROM THE 6-10 DAY PERIOD. NEGATIVE HEIGHT ANOMALIES ARE FORECAST TO BE CENTERED OVER THE NORTHERN HIGH PLAINS, WITH WEAKLY ANOMALOUS RIDGING FORECAST OVER THE SOUTHEAST. THERE REMAINS SOME SIZABLE DISAGREEMENT BETWEEN THE GEFS AND ECMWF ENSEMBLE MEANS AT WEEK-2, AND THE ECMWF IS SLIGHTLY FAVORED AS IT IS DURING THE 6-10 DAY PERIOD. THE RESULTING TEMPERATURE FORECAST MAP DEPICTS NEAR- TO ABOVE-NORMAL TEMPERATURES BEING FAVORED ACROSS MUCH OF THE SOUTHERN TIER OF THE CONUS, WITH BELOW-NORMAL TEMPERATURES REMAINING MORE LIKELY OVER THE NORTHERN CONUS.
ABOVE-NORMAL PRECIPITATION IS FAVORED OVER THE NORTHERN CONUS WHERE MORE FREQUENT SHORTWAVE ACTIVITY IS EXPECTED. THIS IS MORE IN LINE WITH THE ECMWF FORECAST; THE GEFS SOLUTIONS FAVORS STRONGER TROUGHING OVER THE GREAT LAKES AND ENHANCED PROBABILITIES OF ABOVE-NORMAL PRECIPITATION OVER THE NORTHEAST. THE OFFICIAL FORECAST IS WEIGHTED MORE TOWARD THE ECMWF SOLUTION, BUT CLOSELY FOLLOWS THE OBJECTIVE, SKILL-WEIGHTED CONSOLIDATION.
FORECAST CONFIDENCE FOR THE 8-14 DAY PERIOD: NEAR AVERAGE, 3 OUT OF 5, DUE TO A REASONABLY CONFIDENT TEMPERATURE FORECAST OFFSET BY UNCERTAINTY IN THE PRECIPITATION FORECAST.
THE NEXT SET OF LONG-LEAD MONTHLY AND SEASONAL OUTLOOKS WILL BE RELEASED ON APRIL 19.
Week 3-4 Forecast Discussion Valid Sat Apr 21 2018-Fri May 04 2018
The present Week 3-4 outlook is made against the backdrop of the waning La Nina event in the Central Pacific that is destructively interfering with the active phase of the Madden-Julian Oscillation (MJO). Dynamical ensembles consistently forecast some eastward propagation of the MJO during Week-1, before diverging on solutions beyond that point, which either decay the signal or bring it into the Indian Ocean at a reduced amplitude. The ECMWF MJO solution, in the latter camp, is favored in the present outlook given the very robust response observed in the 200-hPa velocity potential field over the past several months and the general tendency during that same time period of the GFS/CFS to have less progressive, lower-amplitude solutions. Despite the expectations of an active MJO approaching one of the better extratropical forcing regions in the Indian Ocean, some caution is exercised here with potential MJO impacts as the outlook period extends into May and vorticity gradients are weakening as we approach boreal Summer. ECMWF ensemble guidance is favored in the construction of the present outlook, with secondary contributions from the CFS and JMA models and the SubX model suite. The dynamical guidance was adjusted towards decadal trend signals and slightly towards anticipated signals tied to the active MJO and decaying La Nina. Observed boundary conditions (e.g. soil moisture, sea surface temperatures) were also used to adjust the final forecasts towards persistence.
Week-2 forecast guidance during the past week has been trending towards a less-amplified, more progressive solution with fast flow across North America. Current Week-2 dynamical ensemble mean 500-hPa height anomalies are relatively low amplitude, with further reductions by the Week 3-4 period. Given these modest amplitudes, confidence is relatively low for temperature and precipitation across much of the country in this outlook. The best consistency among model guidance centers on anomalous ridging in the northwest Pacific that would help to suppress the mid-latitude jet, somewhat consistent with anticipated MJO influences. There are also hints of downstream troughing during Week-3 over the northeast Pacific, before inconsistent solutions during Week-4. Modest anomalous troughing is also generally forecast across the northeastern U.S. in Week-3 before model guidance once more diverges.
Highest probabilities in the temperature outlook are across Alaska, where ensemble guidance is consistently the warmest. Decadal trend signals peak near +2 degrees C across the North Slope, resulting in the highest probabilities being found there. Across the CONUS, warmer than usual conditions are favored from California eastward through the Central Plains. The enhanced chances for warm conditions are consistent among dynamical guidance with the exception of the CFS, which is most amplified and furthest south with troughing in the northeastern Pacific. Highest probabilities for warmer than normal conditions are over the Southwest, once more where the greatest decadal trend signals exist. The prior area favoring warm conditions is extended along the Gulf Coast and Florida, in association with trend signals, warm adjacent sea surface temperatures, and residual warmth from Week-2. The troughing over the northeastern Pacific, consistently favored for at least Week-3, suggests enhanced probabilities for below-normal temperatures from the Pacific Northwest through the Northern Plains, consistent with the La Nina footprint and weakly negative Spring decadal trends. Model forecasts of anomalous troughing near the Northeast in Week-3, which the ECMWF extends into Week-4, tilt odds towards below-normal temperatures for that region.
Dynamical models generally forecast below-normal precipitation for much of the country during Week 3-4, with little agreement when wet areas are forecast by individual models. The greatest consistency among dry signals is for the southwestern quarter of the CONUS, where widespread severe drought already exists and observed soil moisture is generally in the bottom third of climatological values. The region with equal-chances forecast in the Desert Southwest is an exception, as these areas are climatologically arid by early May, thus below-normal precipitation is not possible while above-normal precipitation is not anticipated. Conversely, much of the Mississippi and Ohio Valleys have been extremely wet in recent weeks, with some areas being in the 99th percentile of observed soil moisture. While ensemble guidance generally has dry to weak signals for precipitation for these areas, the official outlook favors above-median precipitation. This above-median precipitation is attributed entirely to the increased importance of convection on precipitation totals for this region in Spring, coupled with the pre-existing wet soils and wet conditions favored during both the next 7 days and Week-2. This wet pattern through the Mississippi Valley also suggests below-median precipitation across Florida, which is consistent with model guidance. Model guidance also consistently tilts dry across Central Alaska, which may be linked to the typical approach of the dry season. As with the Desert Southwest, the North Slope is given equal-chances here as it is typically arid and models anticipate no precipitation, thus both below- and above-median precipitation are unreasonable forecasts.
Observed sea surface temperatures are warm in the vicinity of Hawaii, tilting odds towards above-normal temperatures. Ensemble guidance is also unusually consistent in forecasting above-median precipitation across the islands.
Some Indices of Possible Interest:
Madden Julian Oscillation (MJO)
NCEP-NEFS | CFSv2 |
Analogs to the Outlook.
Now let us take a detailed look at the “Analogs”.
NOAA normally provides two sets of Analogs.
A. Analogs related to the 5 day period centered on 3 days ago and the 7 day period centered on 4 days ago. “Analog” means that the weather pattern then resembles the recent weather pattern and the recent pattern is used to initialize the models to predict the 6 – 14 day Outlook.
B. There is a second set of analogs associated with the Outlook. It compares the forecast (rather than the prior period) to past weather patterns. I have not been regularly analyzing this second set of information. The first set applies to the 5 and 7 day observed pattern prior to today. The second set, relates to the correlation of the forecasted outlook 6 – 10 days out and 8 – 14 days out with similar patterns that have occurred in the past during a longer period that includes the dates covered by the 6 – 10 Day and 8 – 14 Day Outlook. The second set of analogs also has useful information as it indicates that the forecast is feasible in the sense that something like it has happened before. I am not very impressed with that approach. But in some ways both Approach A and B are somewhat similar. I conclude that if the Ocean Condition now are different then the analogs and if the state of ENSO now is different than the analogs that is a reason to have increased lack of confidence in the forecasts and vice versa.
They put the first set of analogs in the discussion with the second set available by a link so I am assuming that the first set of analogs is the most meaningful and I find it so. But NOAA prefers the first set (A) as it helps them (or at least they think it does) assess the quality of the forecast.
Last week NOAA was shuffling around some of their files so they only provided the second set of analogs so that is what I used last week. This week I have the set (A) that I prefer so here goes.
Here are today’s analogs in chronological order although this information is also available with the analog dates listed by the level of correlation. I find the chronological order easier for me to work with. The first set (A) which is what I am using today applies to the 5 and 7 day observed pattern prior to today.
Centered Day | ENSO Phase | PDO | AMO | Other Comments |
Apr 21, 1956 (2) | La Nina | – | +(t) | |
Mar 26, 1974 (2) | La Nina | – | – | |
Apr 9, 1985 | La Nina | + | – | |
Apr 21, 1993 | Neutral | + | – | |
Apr 1, 1994 | Neutral | + | – | |
Apr 2,1994 | Neutral | + | – | |
Mar 2,1995 | El Nino | + | +(t) | Tail end of Modoki |
Mar 3, 1995 | El Nino | + | +(t) | Tail end of Modoki |
(t) = a month where the Ocean Cycle Index has just changed or does change the following month.
The spread among the analogs from March 2 to April 21 is 48 days which is very very wide. I have not calculated the centroid of this distribution which would be the better way to look at things but the midpoint, which is a lot easier to calculate, and fairly accurate if the dates are reasonably evenly distributed, is about March 26. These analogs are centered on 3 days and 4 days ago (April 5 or April 6). So the analogs could be considered to be way out of sync with respect to weather that we would normally be getting right now namely ten days later than we would expect. This is truly a delayed Spring.
For more information on Analogs see discussion in the GEI Weather Page Glossary. For sure it is a rough measure as there are so many historical patterns but not enough to be a perfect match with current conditions. I use it mainly to see how our current conditions match against somewhat similar patterns and the ocean phases that prevailed during those prior patterns. If everything lines up I have my own measure of confidence in the NOAA forecast. Similar initial conditions should lead to similar weather. I am a mathematician so that is how I think about models.
Including duplicates, there are three Neutral Analogs, five La Nina analogs and two El Nino Analogs. The pre-forecast analogs this week do not strongly favor any of the McCabe Conditions. The oceans low frequency cycles appear not to be in control over the forecast for the next twenty-five days.
The seminal work on the impact of the PDO and AMO on U.S. climate can be found here. Water Planners might usefully pay attention to the low-frequency cycles such as the AMO and the PDO as the media tends to focus on the current and short-term forecasts to the exclusion of what we can reasonably anticipate over multi-decadal periods of time. One of the major reasons that I write this weather and climate column is to encourage a more long-term and World view of weather.
In color | Black and White same graphics |
McCabe Condition | Main Characteristics |
A | Very Little Drought. Southern Tier and Northern Tier from Dakotas East Wet. Some drought on East Coast. |
B | More wet than dry but Great Plains and Northeast are dry. |
C | Northern Tier and Mid-Atlantic Drought |
D | Southwest Drought extending to the North and also the Great Lakes. This is the most drought-prone combination of Ocean Phases. |
You may have to squint but the drought probabilities are shown on the map and also indicated by the color coding with shades of red indicating higher than 25% of the years are drought years (25% or less of average precipitation for that area) and shades of blue indicating less than 25% of the years are drought years. Thus drought is defined as the condition that occurs 25% of the time and this ties in nicely with each of the four pairs of two phases of the AMO and PDO.
Historical Anomaly Analysis
When I see the same dates showing up often I find it interesting to consult this list.
A Useful Read
Some might find this analysis which you need to click to read interesting as the organization which prepares it focuses on the Pacific Ocean and looks at things from a very detailed perspective and their analysis provides a lot of information on the history and evolution of ENSO events.
Recent CONUS Weather
This is provided mainly to see the pattern in the weather that has occurred recently.
The U.S. Drought Monitor is a comprehensive way of understand the drought situation for the U.S. If is issued every Thursday and reflects the conditions as of the prior Tuesday. The drought monitor is not just based on precipitation but the condition of the land so it generally reflects more than a month’s precipitation and temperature and wind.
Because of the current drought conditions we now publish a Drought Update on Thursdays. You can access the most recent report here.
This is the summary from our Report last Thursday.
Reference Forecasts Full Month and Three Months.
Below are the Temperature followed by the Precipitation Outlooks for the month and three months shown in the Legend. These maps are issued on the Third Thursday of the Month. The maps for the following month (but not the three-month maps) are updated on the last day of the month. The 6 – 10 day and 8 – 14 Day update daily and the Week 3/4 Map Updates every Friday so usually these are more up to date. Also the three shorter-term maps will generally cover a slightly different time period since they update daily as the month progresses. But these reference maps are sometimes useful if one wants to understand how the current month was originally forecast to play out.
B. Beyond Alaska and CONUS Let’s Look at the World which of course also includes Alaska and CONUS
It is Useful to Understand the Semipermanent Pattern that Control our Weather and Consider how These Change from Winter to Summer. These two graphics (click on each one to enlarge) are from a much larger set available from the Weather Channel. They highlight the position of the Bermuda High which they are calling the Azores High in the January graphic and is often called NASH and it has a very big impact on CONUS Southeast weather and also the Southwest. You also see the north/south migration of the Pacific High which also has many names and which is extremely important for CONUS weather and it also shows the change of location of the ITCZ which I think is key to understanding the Indian Monsoon. A lot of things become much clearer when you understand these semi-permanent features some of which have cycles within the year, longer period cycles and may be impacted by Global Warming. We are now almost at the mid-point of April and should be returning to the set of positions shown below for July (and that appears to be happening at least in the Pacific).For CONUS, the seasonal repositioning of the Bermuda High and the Pacific High are very significant. Notice the Winter position of the Pacific High (Hawaiian High). It has been further north than usual for this time of the year. But it is forecast to drop down closer to its usual position
Forecast for Today (you can click on the maps to enlarge them)
Additional Maps showing different weather variables can be found here.
Forecast for Day 6 (Currently Set for Day 6 but the reader can change that)
World Weather Forecast produced by the Australian Bureau of Meteorology. Unfortunately I do not know how to extract the control panel and embed it into my report so that you could use the tool within my report. But if you visit it Click Here and you will be able to use the tool to view temperature or many other things for THE WORLD. It can forecast out for a week. Pretty cool. Return to this report by using the “Back Arrow” usually found top left corner of your screen to the left of the URL Box. It may require hitting it a few times depending on how deep you are into the BOM tool. Below are the current worldwide precipitation and temperature forecasts for six days out. They will auto-update and be current for Day 6 whenever you view them. If you want the forecast for a different day Click Here
Temperature | Precipitation |
Please remember this graphic updates every six hours so the diurnal pattern can confuse the reader. | The precipitation over Northern South American is impressive. |
And now we have experimental forecasts from the U.S. NAEFS Model. They are difficult to read without first enlarging them.
Temperature | Precipitation |
You can really see that Northern Africa is quite warm. | You have click on this to read it. There are a lot of extremes dry and wet shown. |
Looking Out a Few Months
Here is the precipitation forecast from Queensland Australia:
It is kind of amazing that you can make a worldwide forecast based on just one parameter the SOI and changes in the SOI. But the current reading of the SOI is probably more impacted by the SOI than ENSO so its predictive value out three months is questionable.
JAMSTEC Forecasts
One can always find the latest JAMSTEC maps by clicking this link. You will find additional maps that I do not general cover in my monthly Update Report. Remember if you leave this page to visit links provided in this article, you can return by hitting your “Back Arrow”, usually top left corner of your screen just to the left of the URL box.
Sea Surface Temperature (SST) Departures from Normal for this Time of the Year i.e. Anomalies
My focus here is sea surface temperature anomalies as they are one of the two largest factors determining weather around the World. If we want to have a good feel for future weather we need to look at the oceans as our weather mostly comes from oceans and we need to look at
- Surface temperature anomalies (weather develops from the ocean surface and
- The changes in the temperature anomalies since that may provide clues as to how the surface anomalies will change based on the current trend of changes. This is not that easy to do since the oceans are deep, there are many currents, winds have an impact etc. Two ways that are available to use are to look at the change in the situation today compared to the average over a period of time and NOAA also produces a graphic of monthly changes. I use both. The first set of graphics is simply looking at the average compared to today and that is below.
Three Month Average Anomaly | Current Anomaly |
La Nina shows up | The cool anomaly is displaced to the west a bit. We see a lot of white where we used to see blue. |
And when we look in more detail at the current Sea Surface anomalies below, we see a lot of them not just along the Equator related to ENSO.
Then we look at the change in the anomalies. The SST anomaly is sort of like the first derivative and the change in the anomaly is somewhat like a second derivative. It tells us if the anomaly is becoming more or less intense.
Here it gets a little tricky as for this graphic red does not mean a warm anomaly but a warming of the anomaly which could mean more warm or less cool and blue does not mean cool but more cool or less warm. | ||||
Mediterranean, Black Sea and Caspian Sea | Western North Pacific | West of North America | East of North America | North Atlantic |
Caspian Sea warming | Warming around Japan | Warming off of Baja and Central America . | Cooling off CONUS and Gulf of Mexico. | Cooling around British Isles . . |
Equator | Eastern Pacific consistently extreme warming to the east except right along the South America Coast. Cooling in the eastern Indian Ocean warming to the west. | |||
Africa | West of Australia | North, South and East of Australia | West of South America | East of South America |
Warming east of Africa and engulfing Madagascar | Warming west and more notably northwest | Cooling southeast | Sleight cooling off Ecuador and Peru | Sleight cooling off 40 – 50S |
This may be a good time to show the recent values to the indices most commonly used to describe the overall spacial pattern of temperatures in the (Northern Hemisphere) Pacific and the (Northern Hemisphere) Atlantic and the Dipole Pattern in the Indian Ocean. Notice the change in the PDO in July of 2017 and the stability of the AMO index.
Most Recent Six Months of Index Values | PDO Click for full list | AMO click for full list. | Indian Ocean Dipole (Values read off graph) | |
October | -0.67 | +0.39 | -0.3 | |
November | +0.84 | +0.40 | 0.0 | |
December | +0.56 | +0.34 | -0.1 | |
January | +0.12 | +0.23 | 0.0 | |
February | +0.05 | +0.23 | +0.2 | |
March | +0.14 | +0.17 | +0.0 | |
April | +0.53 | +0.29 | +0.2 | |
May | +0.29 | +0.32 | +0.2 | |
June | +0.21 | +0.31 | 0.0 | |
July | -0.50 | +0.31 | 0.0 | |
August | -0.62 | +0.31 | +0.4 | |
September | -0.25 | +0.35 | +0.2 | |
October | -0.61 | +0.44 | 0.0 | |
November | -0.46 | +0.35 | 0.0 | |
December 2017 | -0.13 | +0.36 | -0.4 | |
January 2018 | +0.29 | +0.17 | -0.1 | |
February | -0.17 | +0.06 | 0.0 | |
March | -0.51 | NA |
Switching gears, below is an analysis of projected tropical hazards and benefits over an approximately two-week period.
* Moderate Confidence that the indicated anomaly will be in the upper or lower third of the historical range as indicated in the Legend. ** High Confidence that the indicated anomaly will be in the upper or lower third of the historical range as indicated in the Legend.
C. Progress of ENSO
A major driver of weather is Surface Ocean Temperatures. Evaporation only occurs from the Surface of Water. So we are very interested in the temperatures of water especially when these temperatures deviate from seasonal norms thus creating an anomaly. The geographical distribution of the anomalies is very important. To a substantial extent, the temperature anomalies along the Equator have disproportionate impact on weather so we study them intensely and that is what the ENSO (El Nino – Southern Oscillation) cycle is all about. Subsurface water can be thought of as the future surface temperatures. They may have only indirect impacts on current weather but they have major impacts on future weather by changing the temperature of the water surface. Winds and Convection (evaporation forming clouds) is weather and is a result of the Phases of ENSO and also a feedback loop that perpetuates the current Phase of ENSO or changes it. That is why we monitor winds and convection along or near the Equator especially the Equator in the Eastern Pacific.
Starting with Surface Conditions.
TAO/TRITON GRAPHIC (a good way of viewing data related to the part of the Equator and the waters close to the Equator in the Eastern Pacific where we monitor to determining the current phase of ENSO. It is probably not necessary in order to follow the discussion below, but here is a link to TAO/TRITON terminology.
And here is the current version of the TAO/TRITON Graphic. The top part shows the actual temperatures, the bottom part shows the anomalies i.e. the deviation from normal.
Location Bar for Nino 3.4 Area Above and Below
———————————————— | A | B | C | D | E | —————– |
My Calculation of the Nino 3.4 Index
I calculate the current value of the Nino 3.4 Index each Monday using a method that I have devised. To refine my calculation, I have divided the 170W to 120W Nino 3.4 measuring area into five subregions (which I have designated from west to east as A through E) with a location bar shown under the TAO/TRITON Graphic). I use a rough estimation approach to integrate what I see below and record that in the table I have constructed. Then I take the average of the anomalies I estimated for each of the five subregions.
So as of Monday April 9 in the afternoon working from the April 8 TAO/TRITON report [Although the TAO/TRITON Graphic appears to update once a day, in reality it updates more frequently.], this is what I calculated.
Calculation of Nino 3.4 from TAO/TRITON Graphic
Anomaly Segment | Estimated Anomaly | |
Last Week | This Week | |
A. 170W to 160W | -0.2 | -0.2 |
B. 160W to 150W | -0.2 | -0.2 |
C. 150W to 140W | -0.3 | -0.4 |
D. 140W to 130W | -0.6 | -0.4 |
E. 130W to 120W | -0.6 | -0.3 |
Total | -1.9 | -1.5 |
Total divided by five i.e. the Daily Nino 3.4 Index | (-1.9/5 = -0.4 | (-1.5)/5 = -0.3 |
My estimate of the daily Nino 3.4 SST anomaly tonight is -0.3 which is an ENSO Neutral not a La Nina value. NOAA has reported the weekly Nino 3.4 to be warmer than last week at -0.5 which is a borderline La Nina value. Nino 4 is reported to be the same as last week at -0.1. Nino 3 is reported as warmer at -0.3. Nino 1 + 2 which extends from the Equator south rather than being centered on the Equator is reported much cooler at -1.1. It was up there close to -3.0 at one time so this index has been declining as an anomaly (rising) quite a bit and also fluctuating quite a bit which is not surprising as it is the area most impacted by the Upwelling off the coast. So it is an indication of the interaction between surface water and rising cool water. Thus it is subject to larger changes. I am only showing the currently issued version of the NINO SST Index Table as the prior values are shown in the small graphics on the right with this graphic. The same data in graphic form but going back a couple of more years can be found here. The full table of values can be found here.
This graphic brings the Nino 3.4 up to date and is easy to read. It may be more reliable than the NOAA readings.
Here is another way of looking at the TAO/TRITON Graphic. It is a fast way to assess the strength of an ENSO Event and provides a way to track it.
The below table only looks at the Equator and shows the extent of anomalies along the Equator. The ONI Measurement Area is the 50 degrees of Longitude between 170W and 120W and extends 5 degrees of Latitude North and South of the Equator so the above table is just a guide and a way of tracking the changes. The top rows show El Nino anomalies. The two rows just below that break point contribute to ENSO Neutral.
Subareas of the Anomaly | Westward Extension | Eastward Extension | Degrees of Coverage | Total by ENSO Phase | |
Total | Portion in Nino 3.4 Measurement Area | ||||
These Rows below show the Extent of El Nino Impact on the Equator | |||||
1C to 1.5C (strong) | NA | NA | 0 | 0 | 0 |
+0.5C to +1C (marginal) | NA | NA | 0 | 0 | |
These Rows Below Show the Extent of ENSO Neutral Impacts on the Equator | |||||
0.5C or cooler Anomaly (warmish neutral) | 170E120W | DATELINELand | 35 | 0 | 30 |
0C or cooler Anomaly (coolish neutral) | DATELINE125W | 145W120W | 40 | 30 | |
These Rows Below Show the Extent of La Nina Impacts on the Equator. | |||||
-0.5C or cooler Anomaly | 145W | 125W | 45 | 20 | 20 |
-1.0C or cooler Anomaly | LAND | LAND | 0 | 0 | |
-1.5C or cooler Anomaly | LAND | LAND | 0 | 0 | |
-2.0C or cooler Anomaly | LAND | LAND | 0 | 0 | |
-2.5C or cooler Anomaly | LAND | LAND | 0 | 0 | |
This week 20 degrees of longitude along the Equator in the Nino 3.4 Measurement Area registers La Nina values. The other 30 degrees register Neutral. That is not the case for the full +5N and +5S width of the Nino 3.4 Measurement Area but in this analysis we are just looking at the Equator. It is again remarkably similar to one week ago. The cool anomaly has moved a bit but is the same size but in two pieces. The -1.5C anomaly is shown slightly off the Equator between 120W and 110W. Roughly speaking, the ratio of the Neutral Value to 50 tells us if we are close to being in Neutral. |
The next graphic overlaps with the subsequent topic but I will show it here.
The discussion in this slide says it better than I could. One might compare the current reading to Oct/Nov 2017. The anomaly had returned to zero then reversed for a month and then returned to zero and now has gone positive. In retrospect it was the Kelvin Wave (#1) Activity the Upwelling Phase and the MJO which caused the brief reversal of the warming trend.
A side by side comparison can be useful
Comparison Week Probably Third Week of December 2017 | Current Week |
Sea Surface Temperature and Anomalies
It is the ocean surface that interacts with the atmosphere and causes convection and also the warming and cooling of the atmosphere. So we are interested in the actual ocean surface temperatures and the departure from seasonal normal temperatures which is called “departures” or “anomalies”. Since warm water facilitates evaporation which results in cloud convection, the pattern of SST anomalies suggests how the weather pattern east of the anomalies will be different than normal.
A major advantage of the Hovmoeller method of displaying information is that it shows the history so I do not need to show a sequence of snapshots of the conditions at different points in time. This Hovmoeller provides a good way to visually see the evolution of this ENSO event. I have decided to use the prettied-up version that comes out on Mondays rather that the version that auto-updates daily because the SST Departures on the Equator do not change rapidly and the prettied-up version is so much easier to read. The bottom of the Hovmoeller shows the current readings. Remember the +5, -5 degree strip around the Equator that is being reported in this graphic. So it is the surface but not just the Equator.
This next graphic is more focused on the Equator and looks down to 300 meters rather than just being the surface.
We are back to a single Kelvin Wave phase in operation. The up-welling phase of Wave #1 reached South America and is no longer a factor re the Nino 3.4 Measurement Area but is a factor further east.. The down-welling phase of Wave #2 is at the 120W. The down-welling phase will provide the warm water to end this La Nina after a very short lag.
Let us look in more detail at the Equatorial Water Temperatures.
We are now going to look at a three-dimensional view of the Equator and move from the surface view and an average of the subsurface heat content to a more detailed view from the surface down This graphic provides both a summary perspective and a history (small images on the right).
.
Anomalies are strange. You can not really tell for sure if the blue area is colder or warmer than the water above or below. All you know is that it is cooler than usual for this time of the year. A later graphic will provide more information. Aside from buoyancy the currents tend to bring water from that depth up to the surface mostly farther east. These currents are very complicated and made even more so by the uneven nature of the ocean floor. So the exact pattern of where this warm water will erupt is beyond my level of understanding. But it will erupt to the surface in multiple different places.
Now for a more detailed look. Below is the pair of graphics that I regularly provide. The date shown is the midpoint of a five-day period with that date as the center of the five-day period. The bottom graphic shows the absolute values, the upper graphic shows anomalies compared to what one might expect at this time of the year in the various areas both 130E to 90W Longitude and from the surface down to 450 meters. At different times I have discussed the difference between the actual values and the deviation of the actual values from what is defined as current climatology (which adjusts every ten years except along the Equator where it is adjusted every five years) and how both measures are useful for other purposes.
There is cool water from 170W to 115W and spotty but colder to the east. At the west end of the -0.5C cool anomaly it is now about 50 meters deep (it was once over 200 meters deep). We now have warm water with a maximum anomaly of +4C developing west of the Dateline and crossing the Dateline at depth to beyond 120W, the result of another Down-welling Kelvin Wave: Wave #2. La Nina’s days are numbered and it does not have much longer to go. This may be the last week of La Nina readings. |
The 28C Isotherm is at the Dateline, the 27C Isotherm is at 170W, the 25C Isotherm is now at120W and in many places at the surface further east. The 20C Isotherm is close to reaching the surface due to the Up-welling Kelvin Wave: Wave #1. |
The flattening of the Isotherm Pattern is an indication of ENSO Neutral just as the steepening of the pattern indicates La Nina or El Nino depending on where the slope shows the warm or cool pool to be. That flattening has occurred and we have gone to a Weak La Nina thermocline.
Tracking the change.
And now let us look at the atmosphere.
And Now the Air Pressure to Confirm that the Atmosphere is Reacting to the Sea Surface Temperature Pattern. The most Common way to do that is to use an Index called the SOI.
This index provides an easy way to assess the location of and the relative strength of the Convection (Low Pressure) and the Subsidence (High Pressure) near the Equator. Experience shows that the extent to which the Atmospheric Air Pressure at Tahiti exceeds the Atmospheric Pressure at Darwin Australia when normalized is substantially correlated with the Precipitation Pattern of the entire World. At this point there seems to be no need to show the daily preliminary values of the SOI but we can work with the 30 day and 90 day values.
Current SOI Readings
The 30 Day Average on April 9, 2018 was reported as +11.08 which is a La Nina value. The 90 Day Average was reported at +5.71 which is an ENSO Neutral value but close to a La Nina value. Looking at both the 30 and 90 day averages is useful with the 90 day lagging the 30 day as one would expect. But they are not in agreement at this point in time. The trend has been down (i.e. less La Nina-ish) but different this month. So Queensland in their forecast is basing it on a rising SOI and that forecast is shown elsewhere in this report. But the La Nina is ending. So their forecast is questionable at this point. But there are lags so it gets complicated. |
SOI = 10 X [ Pdiff – Pdiffav ]/ SD(Pdiff) where Pdiff = (average Tahiti MSLP for the month) – (average Darwin MSLP for the month), Pdiffav = long term average of Pdiff for the month in question, and SD(Pdiff) = long term standard deviation of Pdiff for the month in question. So really it is comparing the extent to which Tahiti is more cloudy than Darwin, Australia. During El Nino we expect Darwin Australia to have lower air pressure and more convection than Tahiti (Negative SOI especially lower than -7 correlates with El Nino Conditions). During La Nina we expect the Warm Pool to be further east resulting in Positive SOI values greater than +7).
To some extent it is the change in the SOI that is of most importance. The MJO or Madden Julian Oscillation is an important factor in regulating the SOI and Ocean Equatorial Kelvin Waves and other tropical weather characteristics. More information on the MJO can be found here. Here is another good resource.
Forecasting the Evolution of ENSO
Here is the primary NOAA model for forecasting the ENSO Cycle. | The CDAS model is a legacy “frozen” NOAA system meaning the software is maintained but not updated. We find it convenient to obtain this graphic from Tropical Tidbits.com |
This model is still forecasting a La Nina. It probably is the most aggressive model re being so definitive about the ENSO Phase for this Fall and Winter. Click here to see a month by month version of the same model but without some of the correction methodologies applied. It gives us a better picture of the further out months as we are looking at monthly estimates versus three-month averages. | Notice that since February, 2018 the Nino 3.4 Index has been rising. The CDAS data It is not in conflict with the primary NOAA model but shows daily values rather then smoothing them out like the CFSv2 Model does. The CDAS data has not risen above -0.5C that seems to be a lid. That lid is likely to be tested soon and most likely will not hold. |
The CFS.v2 is not the only forecast tool used by NOAA. The CPC/IRI Analysis which is produced out of The International Research Institute (IRI) for Climate and Society at Columbia University is also very important to NOAA.
Here is the most recent update. It is quite dramatic. We should have a new update very soon.
IRI ENSO Forecast
IRI Technical ENSO Update Published: March 19, 2018
Note: The SST anomalies cited below refer to the OISSTv2 SST data set, and not ERSSTv4. OISSTv2 is often used for real-time analysis and model initialization, while ERSSTv4 is used for retrospective official ENSO diagnosis because it is more homogeneous over time, allowing for more accurate comparisons among ENSO events that are years apart. During ENSO events, OISSTv2 often shows stronger anomalies than ERSSTv4, and during very strong events the two datasets may differ by as much as 0.5 C. Additionally, the ERSSTv4 may tend to be cooler than OISSTv2, because ERSSTv4 is expressed relative to a base period that is updated every 5 years, while the base period of OISSTv2 is updated every 10 years and so, half of the time, is based on a slightly older period and does not account as much for the slow warming trend in the tropical Pacific SST.
Recent and Current Conditions
In mid-March 2018, the NINO3.4 SST anomaly was in the weak La Niña range. For February the SST anomaly was -0.90 C, indicating weak La Niña, and for December-February it was -0.81 C, also in that range. The IRI’s definition of El Niño, like NOAA/Climate Prediction Center’s, requires that the SST anomaly in the Nino3.4 region (5S-5N; 170W-120W) exceed 0.5 C. Similarly, for La Niña, the anomaly must be -0.5 C or less. The climatological probabilities for La Niña, neutral, and El Niño conditions vary seasonally, and are shown in a table at the bottom of this page for each 3-month season. The most recent weekly anomaly in the Nino3.4 region was -0.7, showing persistent weak La Niña SST conditions. However, the pertinent atmospheric variables, including the lower level zonal wind anomalies, the Southern Oscillation Index and the anomalies of outgoing longwave radiation (convection), have stopped showing patterns suggestive of La Niña since a strong MJO event occurred during February. Subsurface temperature anomalies across the eastern equatorial Pacific are now near-average or even slightly warmer than average, suggesting that La Niña is nearing the end of its duration. Given the current and recent SST anomalies, the subsurface profile and the conditions of most key atmospheric variables, it appears we are in the final stage of this weak-to-moderate La Niña of 2017-18.
Expected Conditions
What is the outlook for the ENSO status going forward? The most recent official diagnosis and outlook was issued approximately one week ago in the NOAA/Climate Prediction Center ENSO Diagnostic Discussion, produced jointly by CPC and IRI; it stated that the La Niña is likely to transition to ENSO-neutral during the March-May season. A La Niña Advisory was once again issued with that Discussion. The latest set of model ENSO predictions, from mid-March, now available in the IRI/CPC ENSO prediction plume, is discussed below. Those predictions also suggest that the SST is likely to return to neutral during within the March-May season.
As of mid-March, about 50% of the dynamical or statistical models predict La Niña conditions for the initial Mar-May 2018 season, dropping to only around 20% for Apr-Jun and below 10% from May-Jul through the final season of Nov-Jan. At lead times of 3 or more months into the future, statistical and dynamical models that incorporate information about the ocean’s observed subsurface thermal structure generally exhibit higher predictive skill than those that do not. For the Jun-Aug 2018 season, among models that do use subsurface temperature information, 80% of models predicts neutral conditions and about 15% predict El Niño conditions, leaving just 5% for La Niña conditions. For all models, starting with the second lead time of Apr-Jun 2018 and lasting through all of the forecast range, predictions for ENSO-neutral conditions have more than a 50% probability, with probabilities peaking at more than 80% for May-Jul and Jun-Aug. Near the end of the forecast range, Oct-Dec and Nov-Jan, the probability for El Niño rises to over 40% and La Niña probabilities drop to about 5% or less.
Note – Only models that produce a new ENSO prediction every month are included in the above statement.
Caution is advised in interpreting the distribution of model predictions as the actual probabilities. At longer leads, the skill of the models degrades, and skill uncertainty must be convolved with the uncertainties from initial conditions and differing model physics, leading to more climatological probabilities in the long-lead ENSO Outlook than might be suggested by the suite of models. Furthermore, the expected skill of one model versus another has not been established using uniform validation procedures, which may cause a difference in the true probability distribution from that taken verbatim from the raw model predictions.
An alternative way to assess the probabilities of the three possible ENSO conditions is more quantitatively precise and less vulnerable to sampling errors than the categorical tallying method used above. This alternative method uses the mean of the predictions of all models on the plume, equally weighted, and constructs a standard error function centered on that mean. The standard error is Gaussian in shape, and has its width determined by an estimate of overall expected model skill for the season of the year and the lead time. Higher skill results in a relatively narrower error distribution, while low skill results in an error distribution with width approaching that of the historical observed distribution. This method shows probabilities for La Niña at 50% for Mar-May, dropping to near 25% for Apr-Jun and 20% or less for May-Jul through the final season of Nov-Jan. Probabilities for neutral conditions begin at 50% for Mar-May, rise to a peak near 75% for Apr-Jun and May-Jul, after which they slowly drop to about 50-55% for Jul-Sep and to about 35-40% for Sep-Nov through Nov-Jan. El Niño probabilities, which begin at 0%, rise to nearly 25% for Jun-Aug, 40% for Sep-Nov and reach 48% by Nov-Jan. A plot of the probabilities generated from this most recent IRI/CPC ENSO prediction plume using the multi-model mean and the Gaussian standard error method summarizes the model consensus out to about 10 months into the future. The same cautions mentioned above for the distributional count of model predictions apply to this Gaussian standard error method of inferring probabilities, due to differing model biases and skills. In particular, this approach considers only the mean of the predictions, and not the total range across the models, nor the ensemble range within individual models.
In summary, the probabilities derived from the models on the IRI/CPC plume describe, on average, a toss-up on weak La Niña vs. neutral conditions conditions for Mar-May 2018, followed by a long period from Apr-Jun through Aug-Oct with neutral having the highest probability. Chances for El Niño are small through Jun-Aug 2018, rising to near 30% for Jul-Sep and in the 45-50% range for the final period of Nov-Jan. A caution regarding this latest set of model-based ENSO plume predictions, is that factors such as known specific model biases and recent changes that the models may have missed will be taken into account in the next official outlook to be generated and issued early next month by CPC and IRI, which will include some human judgment in combination with the model guidance.
The above is based on looking at a variety of models and other information but we should not forget that NOAA has their own model.
Here is another view of the same model with on the right the forecasts of the sea surface temperatures that result from the forecast. It is the model as of January 14 and is frozen i.e. will not update.
And here is what is called the plume of a varied of forecast models. We expect to have an updated version of this graphic next week.
Forecasts from Other Meteorological Agencies.
Here is the JAMSTEC Model Forecast
And the recently released short discussion.
Mar. 16, 2018. Prediction from 1st Mar., 2018 ENSO forecast:
The La Niña-like condition will disappear by late spring. Then the tropical Pacific will return to a normal state by summer.
Indian Ocean forecast:
A normal state in the tropical Indian Ocean will persist in 2018.
Atlantic Ocean forecast:
The Atlantic Niño appears to develop in 2018.
Regional forecast:
On a seasonal scale, most part of the Eurasian Continent will experience a warmer-than-normal condition in spring and summer. In India, however, we expect colder-than-normal condition in summer. Northwestern U.S., western Canada, northern Brazil, Peru, Ecuador, western, eastern and southern Africa, and northern Australia will experience a colder-than-normal condition in boreal spring. This colder condition in northern Brazil and southern Africa will stay even in boreal summer.
As regards to the seasonally averaged rainfall, a wetter-than-normal condition is predicted for the Philippines, Indochina, northern India, eastern Africa, Mexico, eastern U.S. and northern Brazil during boreal spring, whereas western/central U.S., Europe, Iran, Indonesia, southern China, Australia, southern Africa, and southern Brazil will experience a drier-than-normal condition during boreal spring. This drier condition will stay in Europe, central U.S., southeastern Australia, and Indonesia in summer.
Most part of Japan will experience warmer and wetter-than-normal conditions in spring and summer; we expect an active rainy season in 2018.
Here is the Nino 3.4 report from the Australian BOM (it updates every two weeks)
And the ENSO Outlook Discussion Issued on April 10, 2018
El Niño–Southern Oscillation influence on the climate remains weak
The El Niño–Southern Oscillation (ENSO) remains neutral—neither El Niño nor La Niña. Most models predict a neutral ENSO pattern will persist through the southern autumn and winter.
Most atmospheric and oceanic indicators of ENSO are at neutral levels. Sea surface temperatures in the central Pacific are close to average for this time of year. Beneath the surface, the tropical Pacific Ocean is slightly warmer than average, but well within the neutral range. In the atmosphere, cloud and pressure patterns remain weakly La Niña-like, but trade winds are close to average.
Climate models indicate that tropical Pacific Ocean sea surface temperatures will continue to rise, but remain ENSO neutral for the remainder of the southern autumn and winter.
All eight of the surveyed international climate models indicate equatorial Pacific sea surface temperatures are likely to continue rising over the coming months. A neutral ENSO state is the most likely outcome for the remainder of the southern hemisphere autumn and winter. The Bureau’s model predicts the equatorial Pacific will continue to gradually warm throughout winter but remain within the neutral range.
Climate model outlooks for ENSO and the IOD have lower accuracy during autumn than at other times of the year. Hence, current model outlooks of these climate drivers should be viewed with some caution.
Indian Ocean IOD (It updates every two weeks)
Indian Ocean Dipole Outlook Discussion Issued April 10, 2018
The Indian Ocean Dipole (IOD) is currently neutral with a weekly index value to 8 April of +0.2 °C. All of the six international climate models surveyed by the Bureau indicate that the IOD will remain neutral during autumn. However, two models, including the Bureau’s model, suggest that a negative IOD event is possible during the southern hemisphere winter. It should be noted that outlook skill is lower at this time of year.
A negative IOD during winter tends to enhance rainfall across southern Australia..
The IOD Forecast is indirectly related to ENSO but in a complex way. It is important to understand how and where the IOD is measured.
IOD Positive is the West Area being warmer than the East Area (with of course many adjustments/normalizations). IOD Negative is the East Area being warmer than the West Area. Notice that the Latitudinal extent of the western box is greater than that of the eastern box. This type of index is based on observing how these patterns impact weather and represent the best efforts of meteorological agencies to figure these things out. Global Warming may change the formulas probably slightly over time but it is costly and difficult to redo this sort of work because of long weather cycles.
D. Putting it all Together.
At this time it would seem that La Nina Conditions along the Equator are coming to an end. The actual impacts on Worldwide weather lag the change in conditions along the Equator so we will have impacts from this La Nina for two or three more months. But the situation for next Summer is not yet totally clear.
Forecasting Beyond Five Years.
So in terms of long-term forecasting, none of this is very difficult to figure out actually if you are looking at say a five-year or longer forecast.
The research on Ocean Cycles is fairly conclusive and widely available to those who seek it out. I have provided a lot of information on this in prior weeks and all of that information is preserved in Part II of my report in the Section on Low Frequency Cycles 3. Low Frequency Cycles such as PDO, AMO, IOBD, EATS. It includes decade by decade predictions through 2050. Predicting a particular year is far harder.
The odds of a climate shift for the Pacific taking place has significantly increased. It may be in progress. The AMO is pretty much neutral at this point (but more positive i.e. warm than I had expected) so it may need to become a bit more negative for the “McCabe A” pattern to become established. That seems to be slow to happen so I am thinking we need at least a couple more years for that to happen. Our assessment is that the standard time for Climate Shifts in the Pacific are likely to prevail and it most likely will be a gradual process with a speed up in less than five years but more than two years. The next El Nino may be the trigger and it is probably three or more years out.
E. Relevant Recent Articles and Reports
Weather in the News
What Gave the West Its Soggiest Winter-Type Atmosphere on Record? By Bob Henson Category 6 Blog
Weather Research in the News
Nothing to report
Global Warming in the News
Nothing to report
F. Table of Contents for Page II of this Report Which Provides a lot of Background Information on Weather and Climate Science
The links below may take you directly to the set of information that you have selected but in some Internet Browsers it may first take you to the top of Page II where there is a TABLE OF CONTENTS and take a few extra seconds to get you to the specific section selected. If you do not feel like waiting, you can click a second time within the TABLE OF CONTENTS to get to the specific part of the webpage that interests you.
1. Very High Frequency (short-term) Cycles PNA, AO,NAO (but the AO and NAO may also have a low frequency component.)
2. Medium Frequency Cycles such as ENSO and IOD
3. Low Frequency Cycles such as PDO, AMO, IOBD, EATS.
4. Computer Models and Methodologies
5. Reserved for a Future Topic (Possibly Predictable Economic Impacts)
G. Table of Contents of Contents for Page III of this Report – Global Warming Which Some Call Climate Change.
The links below may take you directly to the set of information that you have selected but in some Internet Browsers it may first take you to the top of Page III where there is a TABLE OF CONTENTS and take a few extra seconds to get you to the specific section selected. If you do not feel like waiting, you can click a second time within the TABLE OF CONTENTS to get to the specific part of the webpage that interests you.
2. Climate Impacts of Global Warming
3. Economic Impacts of Global Warming
4. Reports from Around the World on Impacts of Global Warming
H. Useful Background Information
The current conditions are measured by determining the deviation of actual sea surface temperatures from seasonal norms (adjusted for Global Warming) in certain parts of the Equatorial Pacific. The below diagram shows those areas where measurements are taken.
NOAA focuses on a combined area which is all of Region Nino 3 and part of Region Nino 4 and it is called Nino 3.4. They focus on that area as they believe it provides the best correlation with future weather for the U.S. primarily the Continental U.S. not including Alaska which is abbreviated as CONUS. The historical approach of measurement of the impact of the sea surface temperature pattern on the atmosphere is called the Southern Oscillation Index (SOI) which is the difference between the atmospheric pressure at Tahiti as compared to Darwin Australia. It was convenient to do this as weather stations already existed at those two locations and it is easier to have weather stations on land than at sea. It has proven to be quite a good measure. The best information on the SOI is produced by Queensland Australia and that information can be found here. SOI is based on Atmospheric pressure as a surrogate for Convection and Subsidence. Another approach made feasible by the use of satellites is to measure precipitation over the areas of interest and this is called the El Nino – Southern Oscillation (ENSO) Precipitation Index (ESPI). We covered that in a weekly Weather and Climate Report which can be found here. Our conclusion was that ESPI did not differentiate well between La Nina and Neutral. And there is now a newer measure not regularly used called the Multivariate ENSO Index (MEI). More information on MEI can be found here. The jury is still out on MEI and it it is not widely used.
The below diagram shows the usual location of the Indo-Pacific Warm Pool. When the warm water shifts to the east we have an El Nino; to the west a La Nina.
Interaction between the MJO and ENSO
This Table is a first attempt at trying to relate the MJO to ENSO
El Nino | La Nina | MJO Active Phase | MJO Inactive Phase | |
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Eastern Pacific Easterlies |
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Western Pacific Westerlies |
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MJO Active Phase |
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MJO Inactive Phase |
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History of ENSO Events as measured by the ONI
The new SON reading of -0.8 is the fifth La Nina Reading. Not all Meteorological Agencies Worldwide will necessarily accept this La Nina to be legitimately declared but most will. The full history of the ONI readings can be found here. The MEI index readings can be found here.
Four Quadrant Jet Streak Model Read more here This is very useful for guessing at weather as a trough passes through. It would apply to the states that are at the apex of the trough.
If the centripetal accelerations owing to flow curvature are small, then we can use the “straight” jet streak model. The schematic figure directly below shows a straight jet streak at the base of a trough in the height field. The core of maximum winds defining the jet streak is divided into four quadrants composed of the upstream (entrance) and downstream (exit) regions and the left and right quadrants, which are defined facing downwind.
Isotachs are shaded in blue for a westerly jet streak (single large arrow). Thick red lines denote geopotential height contours. Thick black vectors represent cross-stream (transverse) ageostrophic winds with magnitudes given by arrow length. Vertical cross sections transverse to the flow in the entrance and exit regions of the jet (J) are shown in the bottom panels along A-A’ and B-B’, respectively. Convergence and divergence at the jet level are denoted by “CON” and “DIV”. “COLD” and “WARM” refer to the air masses defined by the green isentropes.
[Editor’s Note: There are many undefined words in the above so here are some brief definitions. Isotachs are lines of equal wind speed. Convergence is when there is an inflow of air which tends to force the air higher with cooling and cloud formation. Divergence is when there is an outflow of air which tends to result in air sinking which causes drying and warming, Confluence is when two streams of air come together. Diffluence is when part of a stream of air splits off.]
Here is a time sequence animation. You may have to click on them to get the animation going.
When we discuss the jet stream and for other reasons, we often discuss different layers of the atmosphere. These are expressed in terms of the atmospheric pressure above that layer. It is kind of counter-intuitive to me. The below table may help the reader translate air pressure to the usual altitude and temperature one might expect at that level of air pressure. It is just an approximation but useful.
Re the above, H8 is a frequently used abbreviation for the height of the 850 millibar level (which is intended to represent the atmosphere above the Boundary Layer most impacted by surface conditions), H7 is the 700 mb level, H5 is the 500 mb level, H3 is the 300 mb level. So if you see those abbreviations in a weather forecast you will know what they are talking about.
Tropical Activity Possibly Impacting CONUS.
When there is activity and I have not provided the specific links to the storm of “immediate” interest, one can obtain that information at this link. At this point in time, no (new) tropical events are expected to appear in this graphic during the next 48 hours. If that changes, we will provide an update.
Now let us look at the Western Pacific in Motion.
The above graphic which I believe covers the area from the Dateline west to 100E and from the Equator north to 45N normally shows the movement of tropical storms towards Asia in the lower latitudes (Trade Winds) and the return of storms towards CONUS in the mid-latitudes (Prevailing Westerlies). This is recent data not a forecast. But, it ties in with the Week 1 forecast in the graphic just above this graphic. Information on Western Pacific storms can be found by clicking here. This (click here to read) is an unofficial private source but one that is easy to read.