The GeoCLIM software for gridding & analyzing precipitation & temperature. Tamuka Magadzire, FEWS NET Regional Scientist for Southern Africa

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1 The GeoCLIM software for gridding & analyzing precipitation & temperature Tamuka Magadzire, FEWS NET Regional Scientist for Southern Africa

2 Outline What is GeoCLIM GeoCLIM Development Team GeoCLIM: objectives and functionality Current Status

3 What is GeoCLIM? 1. Geospatial climate datamanagement and analysis software tool developed to meet EAC PREPARED user needs. 2. Addresses the issue of climate observational data gaps over time and geographical locations. 3. Leverages on available field and satellite observations. PLANNING FOR RESILIENCE BUILDING IN EAST AFRICA THROUGH POLICY, ADAPTATION, RESEARCH AND ECONOMIC DEVELOPMENT

4 What is GeoCLIM? A spatial analysis tool designed for climatological analysis of historical rainfall and temperature data. Provides scientists and non-scientists with an array of accessible analysis and decision support tools for disciplines such as climate-smart agricultural development. Facilitates filling-in of observational gaps (rainfall and temp) using a blend of field observational networks and readily available satellite data.

5 What is GeoCLIM GeoCLIM tools allow user to: blend station data (e.g. rain gauge) with gridded satellite data (e.g. CHIRPS) to create more accurate datasets, analyze historical climate data (e.g. calculate seasonal trends) create visual representations of climate data, create scripts (batch files) to quickly and efficiently analyze similar batches of climate data, Create and edit shapefiles and raster files, and extract statistics from raster datasets to create time series.

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7 GeoCLIM Developers FEWS NET/ PREPARED/ ICPAC/ UCSB CHG/ USGS UCSB-CHG/USGS-FEWSNET Team PREPARED Climate Change Advisory Team

8 2 Main GeoCLIM objectives Gridding of climatic datasets Climatological data analysis Especially climate trends Identify areas getting hotter/cooler Identify areas getting dryer/wetter

9 Obj 1: Gridding of datasets Combines satellite-based estimates with local station data For rainfall: CHIRPS (1981-present + rain gauge data For temperature: Long-term average + temperature with station temperature. Offer option for simple interpolation with no background

10 Gridding options 3 modules related to gridding data

11 Blending CHIRPS + Raingauge datasets (IDW-based)

12 BASIICS Analysis: Typical outcomes Usually observe: Increased R-squared Decreased bias Decreased RMSE Decreased MAE Regr Slope 1 Regr Intercept 0

13 RFE2.0 Dek15, 2008 IRE2.0?? RFE2.0 Dek17, 2008 IRE2.0

14 Obj 2: Climatological data analysis To assist the PREPARED and Global Climate Change activities, GeoCLIM analytical focus was on understanding How climate has been trending over the last 30+ years Current climate conditions

15 Rainfall Comparing average rainfall for minus

16 Climatological analysis Analysis of different variables

17 Climatological analysis Understanding climate from different perspectives

18 For example What is the average rainfall

19 For example What is the average rainfall

20 For example How variable is the rainfall

21 For example How variable is the rainfall (cv=stddev/mean)

22 For example What is the frequency with which we get less than 300mm of seasonal rainfall

23 For example What is the frequency with which we get less than 300mm of seasonal rainfall

24 For example What are the limits within which I can expect my lower, middle and upper tercile rainfall for relating to the seasonal forecast:

25 For example What are the limits within which I can expect my lower, middle and upper tercile rainfall for relating to the seasonal forecast: Below Normal Range (1 st to 33 rd Percentile)

26 For example What are the limits within which I can expect my lower, middle and upper tercile rainfall for relating to the seasonal forecast: Normal Range (33 rd to 67 th Percentile)

27 For example What are the limits within which I can expect my lower, middle and upper tercile rainfall for relating to the seasonal forecast: Above Normal Range (67 th to 99 th Percentile)

28 For example What is the seasonal rainfall for season expressed as SPI

29 For example What is the seasonal rainfall for season expressed as SPI

30 Useful GIS-type functions Generic mapping of raster datasets and shapefiles Extracting polygon statistics from raster datasets Raster contouring Windowing grids Masking Reclassifying grids Scripting/automation

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37 Extract statistics

38 Extract Statistics

39 GeoCLIM Capacity Building Resources Resources for capacity building include Online Video tutorials Online PDF tutorials Comprehensive user manual Training powerpoints Training has been provided at ICPAC and several East African countries, SADC training workshops and in Botswana

40 Conclusions GeoCLIM is available as a stand-alone package for installation on your computer (download or memory stick) You can obtain the CHIRPS archive (download or memory stick) and use it with GeoCLIM In GeoCLIM, you can merge your station database with CHIRPS to make your own accurate gridded rainfall data time series You can analyze your gridded rainfall data time series to calculate long term rainfall trends, statistical parameters, SPI etc

41 Merci Obrigado Thank you