Each week, ISciences processes an ensemble of 28 seasonal temperature and precipitation forecasts issued by the National Oceanic and Atmospheric Administration's Climate Forecast System Version 2 (CFSv2).  The maps  that follow depict global temperature and precipitation forecasts maps for June 2015 and are based on CFSv2 forecasts issued  May 15 through May 21, 2015.  The full report contains monthly temperature and precipitation forecasts for June 2015 through February 2016.

Most of the world's land surface is forecast to have above normal temperatures in June 2015.  Extreme warm anomalies are forecast for the west coasts of Central and South America and portions of the Sahel and Egypt.  Cool anomalies are forecast for Texas, central Mexico. Cool extremes are forecast for central Africa. 

Temperature outlook for June 2015.  Reds indicate above normal monthly average temperature.  Blues indicate below normal monthly average temperature.  The darker the color, the more extreme the anomaly relative to a 1950-2009 climatic baseline.   Colors are based on the expected return period of the anomalies.

Wet anomalies are forecast for Southwest United States, Northwest Mexico, Western and Southern Brazil, Turkey, and portions of Western Australia.  Dry anomalies are forecast for Northern South America, Northern India, Southeast Asia, and the Philippines.

Precipitation outlook for June 2015.  Reds indicate below normal monthly total precipitation.  Blues indicate above normal monthly total precipitation.  The darker the color, the more extreme the anomaly relative to a 1950-2009 climatic baseline.   Colors are based on the expected return period of the anomalies.

This blog post presents results from our "WSIM Precipitation and Temperature Forecasts" report issued on May 25, 2015. This report includes forecasts for June 2015 through February 2016 based on NOAA CFSv2 forecasts issued May 15 through May 21, 2015.

Technical details:

  1. Forecasts are based on an ensemble of 28 forecasts  issued by the National Oceanic and Atmospheric Administration's Climate Forecast System Version 2 (CFSv2). 
  2. Each CFSv2 forecast is bias corrected by:
    • Constructing probability density functions from CFSv2 hindcasts.
    • Fitting the hindcast probability distribution functions to a generalized extreme value distribution.
    • Using an inverse lookup to an extreme value distribution fitted to the observed temperature and precipitation record (Fan & vanden Dool 2008, Chen et al. 2002).
  3. The maps colors depict the return period of the median forecast anomaly.
  4. Regions where the interquartile range of the enemble spans both above normal and below normal conditions are hashed as having uncertain direction.
  5. Regions where the interquartile range of the ensemble divided by the median forecast is large (>0.4) are hashed as having uncertain magnitude.

Comment

Many analyses reported in ISciences-authored blog posts are based on data generated by the ISciences Water Security Indicator Model (WSIM). Other sources, if used, are referenced in footnotes accompanying individual posts. WSIM is a validated capability that produces monthly reports on current and forecast global freshwater surpluses and deficits with lead times of 1-9 months at 0.5°x0.5° resolution. This capability has been in continuous operation since April 2011 and has proven to provide reliable forecasts of emerging water security concerns in that time-frame. WSIM has the ability to assess the impacts of water anomalies on people, agriculture, and electricity generation. Detailed data, customized visualizations, and reports are available for purchase.

For more information contact info@isciences.com.

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