spatiotemporal analysis

Robust features in the 2014 USA forecast

Building on a previous discussion about a seasonal forecast product from NOAA Climate Prediction Center (CPC), I am still really curious about how robust the features in the seasonal weather patterns in the USA are. “Weather” in this case is referring to temperature and precipitation (T and PCP), and features refer to 3-month boxcar averages of T and PCP anomalies compared to the corresponding 3-month climatologies. So this is not the normal day-to-day weather or even the recent weather. Here are some new figures, which I explore below in terms of features that seem to be “robust” and features that seems to be “ephemeral”.

First, temperature in two plots:

comparisons-2014-3-start

Then, precipitation in two plots:

comparisons-precipitation-2014-3-startWatch the figures carefully. All the animations start with a forecast for 3-month averaged T and PCP for March-April-May (MAM). Then, they step forward to April-May-June (AMJ)The CPC data product seems intended to provide an idea of whether T and PCP will be above or below average for the USA (including Alaska). In a previous discussion, I looked at CPC outlooks for 2014 and early 2015, and their figures and analysis were produced using actual mid-January 2014 conditions.

New data

Now another month of data is in and CPC has updated their seasonal forecast to begin with mid-February 2014 conditions. A natural expectation is that the seasonal forecast would be better earlier in the overall forecast period. In other words, as the animation above progresses, the confidence in the forecast should decrease with time. Sometimes, however, larger patterns of atmospheric variability that emerge somewhere else in the world can exert some level of control on weather patterns (T and PCP) in the USA. El Nino-Southern Oscillation (ENSO, or sometimes just “El Nino”) is the best known example.

There could be all sorts of speculative lines of thinking in terms of causes, so for now, I’ll focus on the features that seem to hold up after another month of data. I’ll call these robust, and point out one overall theme that is worth watching as winter releases its grip on much of the USA.

Robust Features

The Southwestern USA and often the Western USA in general is facing what will likely be a warmer than average year until about October. I think this is a pretty safe prediction. There is almost no evolution after more data was considered, except perhaps that the Pacific Coast tends towards higher probability of above average warmth. Upper Alaska is also holding up to the earlier forecast of warmth, especially in the northernmnost reaches. Both these regions are well known as fire prone under unusual warmth. Uh-oh. By November-December, the above average warmth shifts to the mid-Atlantic and the Southeast USA. The Northeast USA drifts towards unusual warmth starting in the summertime, maybe July, and ending about, oh, early next calendar year. For precipitation, much of the USA seems to be a normal water year. The problem is that in the near term, California remains dryer than average. Other features in a featureless prediction are that the deep South is dry in the spring, while the Ohio River Valley is wetter than average. Northern Florida and the coastal SE USA tend towards dry late in the calendar year.*

Summary and What the AVERAGE Year Looks Like

Overall, the story remains clear: The USA should experience another warmer than average year. Warmer than average is a relative term. Remember that NOAA (and CPC) define the normal temperature and precipitation amounts by the 1981-2010 30 year average. This is a particularly irritating 30 year timeframe mainly because climate is clearly warming most rapidly during the 1970 to present day period. It is what it is, but sometimes the simpler message is lost. The CPC forecast is for a year that is warmer than the 1981-2010 average. So what is the 1981-2010 average?? This is what the 1895-2013 temperature and precipitation trends for the contiguous USA (no Alaska) from NOAA NCDC with the baseline average 1981-2010 average temperature overlaid.contiguousUSA-1895-2013-annual-TcontiguousUSA-1895-2013-annual-PThe precipitation is not the story, in my mind. The story is that we should expect a warmer than 1981-2010 year. The average of 1981-2010, without doing any math, is clearly warmer than most of the years this past century. Quickly eyeballing this number says that 82 of the 100 years in the last century are colder than the 1981-2010 average. This is really important in terms of perception of the significance of a warmer than “average” year. 1981-2010 is not a very good choice for the “average”. Gonna be a warm year according to CPC. Nowhere is there a robust and spatially significant feature suggesting below average temperatures, by the way.

*There are a few features that are not that robust, by my admittedly weak definition. For example, it’s not that clear whether the NE USA or the NW USA will tend warmer than average in the early summer. And precipitation has about the same number of features that are robust as not robust.

CO2 trends from around the world

Time series are profilic in climate science. This is a dataset that shows the how a measurement changes over some period of time. The best known in our world is the global warming time series displayed as the globally-averaged surface temperature trend, which is compiled from thermometer measurements. A few research groups worldwide maintain this analysis (NASA GISS, UK Met Office, NOAA NCDC). Since CO2 is in the news, and since there is variability from one measurement location to another, it is useful to see how the best-known station in Mauna Loa, Hawaii (source of the data shown in the Keeling curve graph). Once you navigate the shifting axes (y-axis on the right and left, and the time series begin at different points in the past) and digest the information visualized here, the graph below is very useful in quickly understanding variability in CO2 concentration from the northernmost latitudes to the southernmost, noting the latitude is listed under the three-letter station identifier but that the graph is arranged north to south.co2-globaltrendsThere is clearly a bias toward higher CO2 in the northern hemisphere compared to the southern hemisphere – CO2 is about 10-12 ppm higher near the north pole. This piece of information – this data – reflects the higher abundance of sources of CO2 in the northern hemisphere and the relatively slow transport times required for air to move across the equator (like a slow drip compared to the winds we feel every day in the USA). The graph also effectively conveys another dimension of information: Regardless of the specific location of CO2 measurement, the long-term trend is essentially the same worldwide, indicating that CO2 continues to accumulate in the atmosphere worldwide at about the same pace. The trend could relatively easily be quantified, but sometimes qualitative analysis is enough. From the webpage where I found the figure, the station identifiers are PTB = Point Barrow, LJO = La Jolla, MLO = Mauna Loa Observatory, CHR = Christmas Island, SAM = Samoa, and SPO = South Pole. You can also find some commonality in the stations at NOAA’s website. All in all, a great data visualization that can be done entirely in black-and-white!

Remembering the warmth with temporal averaging

It’s been cool in North Carolina and in Charlotte in August and September 2012, as I talked about on one of my posts. In that post, I said that if you really want to know whether the temperatures you are experiencing are representative of the bigger picture, you can “zoom out” from the city level (or Climate Division) to the state level and even to the country level. This is easy with the NCDC website which archives USA climate data. Another way to think about the temperatures in a particular month (like September 2012) is to zoom out in time. In other words, take a longer time average to see whether the temperature averaged over the last few months or even the whole year are at all like the temperature you are experiencing in the here and now. (we’re still talking about monthly temperature, not the weather).

Using figures that you can get at NCDC, I made the animation above. The figure shows the temperature averaged over progressively fewer months (starting with 12 months up to Sep 2012 and going down to just Sep 2012). I think the data in the figure shows that the temperatures departures over the last year (Oct 2011 to Sep 2012) in North Carolina were dominated by unusually large warm anomalies back in the winter months, from about Oct 2011 to Mar 2012. Starting in May 2012, the temperature anomalies in NC were below average, but these below-average temperatures we’ve been experiencing are swamped by the above-average temperatures from the what we did experience (but may have forgotten). When you look at the trend in the country as a whole, and focus on the Oct 2011 to Sep 2012 image when it pops up, you can see that most of the country is very warm compared to average.

Cool in North Carolina, but not the USA

Between all the various climate excitement in the news – like record-low Arctic sea ice – temperature measurements continue to be collected. A really great webpage to actually examine the temperature data is at the NOAA National Climatic Data Center. The NCDC data shows that in 2012

           North Carolina   NC Climate Division 5*  Contiguous USA
     July  80.5 (+3.2)      81.1 (+2.4)             77.2 (+3.3)
   August  75.7 (-0.4)      76.1 (-1.3)             74.6 (+1.7)
September  69.8 (-0.9)      70.3 (-1.6)**           67.0 (+1.4)

*includes Charlotte and Mecklenburg County
**corrected after an NCDC website glitch which originally had values of 74.1 (-1.5)

where the bigger number under each header is the avereage temperature for the particular month in degrees Fahrenheit, while the number in the parentheses is the departure (or anomaly) of the month to the average temperature for that month for the 20th century (1900-1999). North Carolina, like most of the USA, had a really warm July 2012 and the country experienced the warmest July in the 118 years of records. On the other hand, August and September temperatures in North Carolina this year were about a half degree to nearly a full degree less than the 20th century average temperatures. These much cooler-than-average temperatures were even more pronounced in southern North Carolina, which I show above as NC Climate Division 5. This climate division includes Charlotte and Mecklenburg County.

This is a great example of how even when the local temperature for a particular month is below or above average, this may not be true when you examine other parts of the country, or in the case of Charlotte, other parts of the state. This same analogy is true when comparing regional (like USA) to global temperature trends. The summary is that even though NC had a cooler than average Aug-Sep, the USA on the whole still experienced a warmer than average August and September to pile on to the warmest July on record.