Climate and climate change data            portalsJulian Ramirez / Andy Jarvis / Carlos              Navarro
Contents• Where does everything  start?• Daily weather data  – Weather station  – Gridded• Mean climatology  – Weather sta...
Where does everything start?• We need plants for  food• Plants respond to the  environment
RV & C (2012)
Daily weather data• Agricultural  researchers need  high quality  weather  information                     RV & C (2012)
Sources of daily weather data• Our own met service• Global Historical Climatology Network  (GHCN) -14k weather stations• C...
Despite some improvements in data availability                            16000                                           ...
SSA (WS)SSA (1DD)SAS (WS)SAS (1DD)
Satellite rainfall data (TRMM)Chitala (MWI)                TRMM                observed
MEAN CLIMATOLOGY
Mean climatology• New et al. (2002) –CRU (10 min  resolution)• Hijmans et al. (2005) –WorldClim (0.5 min)
Interpolatedrainfall bias
Interpolatedtemperaturebias
Climate model data
BCCR-BCM2.0        CCCMA-CGCM3.1-    CNRM-CM3                   T47           Research areas: Available andCSIRO-MK3.0    ...
Global climate models• Climate model skill (CMIP3)    1961-1990 Rainfall          1961-1990 Temperature                   ...
Global Climate Models                            • Global climate model skill (IPCC 4AR)                                  ...
Also, we need downscaling• Even the most precise GCM is too  coarse (~100km)• To increase resolution, uniformise,  provide...
www.ccafs-climate.org
Can high resolution datasets be   used for ag. Modelling?                    Navarro et al., in prep
Notes to take• Various sources of  weather/climate data exist,  pick the best for your case… if  there’s no data…• Beware ...
Julian R - Climate data portals Dakar April 2012
Julian R - Climate data portals Dakar April 2012
Julian R - Climate data portals Dakar April 2012
Julian R - Climate data portals Dakar April 2012
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Julian R - Climate data portals Dakar April 2012

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Presentation given at the second analogues workshop, held in Dakar (Senegal) in April 2012.

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  • *Note here what the sources of these discrepancies can be.
  • Julian R - Climate data portals Dakar April 2012

    1. 1. Climate and climate change data portalsJulian Ramirez / Andy Jarvis / Carlos Navarro
    2. 2. Contents• Where does everything start?• Daily weather data – Weather station – Gridded• Mean climatology – Weather station – Interpolated• Future climate data – GCM data – Downscaled
    3. 3. Where does everything start?• We need plants for food• Plants respond to the environment
    4. 4. RV & C (2012)
    5. 5. Daily weather data• Agricultural researchers need high quality weather information RV & C (2012)
    6. 6. Sources of daily weather data• Our own met service• Global Historical Climatology Network (GHCN) -14k weather stations• CIAT’s weather station database (9k stations) –but loads of restrictions• Global Summary of the Day (GSOD) -10k weather stations –uh oh?• GPCP, GPCC, NASA-Power (1 degree) (1995 – now)• TRMM (1998 – now)
    7. 7. Despite some improvements in data availability 16000 2500 All stations 14000 Highly reliable Number of stations (high quality) 2000 12000 Number of stations (all)Early 1000020th century 1500 8000 1000 6000 4000 500 2000 © Global Historical Climatology Network (GHCN) http://www.ncdc.noaa.gov/ghcnm/v2.php 0 0 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010Optimal (mid)20th century
    8. 8. SSA (WS)SSA (1DD)SAS (WS)SAS (1DD)
    9. 9. Satellite rainfall data (TRMM)Chitala (MWI) TRMM observed
    10. 10. MEAN CLIMATOLOGY
    11. 11. Mean climatology• New et al. (2002) –CRU (10 min resolution)• Hijmans et al. (2005) –WorldClim (0.5 min)
    12. 12. Interpolatedrainfall bias
    13. 13. Interpolatedtemperaturebias
    14. 14. Climate model data
    15. 15. BCCR-BCM2.0 CCCMA-CGCM3.1- CNRM-CM3 T47 Research areas: Available andCSIRO-MK3.0 usable climate data CSIRO-MK3.5 GFDL-CM2.0GFDL-CM2.1 INGV-ECHAM4 INM-CM3.0IPSL-CM4 MIROC3.2-MEDRES MIUB-ECHO-GMPI-ECHAM5 MRI-CGCM2.3.2A NCAR-CCSM3.0NCAR-PCM1 UKMO-HADCM3 UKMO-HADGEM1
    16. 16. Global climate models• Climate model skill (CMIP3) 1961-1990 Rainfall 1961-1990 Temperature Source: Ramirez and Challinor, 2012
    17. 17. Global Climate Models • Global climate model skill (IPCC 4AR) Annual December-February June-July-AugustDiurnal temperature range temperature MeanRainfall Source: Ramirez and Challinor, 2012
    18. 18. Also, we need downscaling• Even the most precise GCM is too coarse (~100km)• To increase resolution, uniformise, provide high resolution and contextualised data• Different methods exist… from interpolation to neural networks and RCMs
    19. 19. www.ccafs-climate.org
    20. 20. Can high resolution datasets be used for ag. Modelling? Navarro et al., in prep
    21. 21. Notes to take• Various sources of weather/climate data exist, pick the best for your case… if there’s no data…• Beware of errors in the data• Improvements to data network are needed• Use downscaled information carefully• Assess the ability of these data to make ag. predictions (c) Neil Palmer (CIAT)
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