From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Julian R - Climate data portals Dakar April 2012
1. Climate and climate change data
portals
Julian Ramirez / Andy Jarvis / Carlos
Navarro
2. Contents
• Where does everything
start?
• Daily weather data
– Weather station
– Gridded
• Mean climatology
– Weather station
– Interpolated
• Future climate data
– GCM data
– Downscaled
3. Where does everything start?
• We need plants for
food
• Plants respond to the
environment
5. Daily weather data
• Agricultural
researchers need
high quality
weather
information
RV & C (2012)
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)
17. BCCR-BCM2.0 CCCMA-CGCM3.1- CNRM-CM3
T47
Research areas: Available and
CSIRO-MK3.0
usable climate data
CSIRO-MK3.5 GFDL-CM2.0
GFDL-CM2.1 INGV-ECHAM4 INM-CM3.0
IPSL-CM4 MIROC3.2-MEDRES MIUB-ECHO-G
MPI-ECHAM5 MRI-CGCM2.3.2A NCAR-CCSM3.0
NCAR-PCM1 UKMO-HADCM3 UKMO-HADGEM1
18. Global climate models
• Climate model skill (CMIP3)
1961-1990 Rainfall 1961-1990 Temperature
Source: Ramirez and Challinor, 2012
19. Global Climate Models
• Global climate model skill (IPCC 4AR)
Annual December-February June-July-August
Diurnal temperature range
temperature
MeanRainfall
Source: Ramirez and Challinor, 2012
20. 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
24. Can high resolution datasets be
used for ag. Modelling?
Navarro et al., in prep
25. 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)
Editor's Notes
*Note here what the sources of these discrepancies can be.