Development and Implementation of Historical and Current Climate Mapping for Vanuatu
summary
Project produces an atlas of historical monthly and seasonal maps and a suite of operational anomaly maps for 30, 60, 90, 180 and 360 days using observational station data plus NASA satellite precipitation (no satellite temperature product), integrates outputs into NIWA’s CliDEsc installation in Vanuatu, and uses Python with gdal, geopandas, xarray, scipy, cartopy, rasterio and ANUSPLIN for elevation‑aware interpolation. Results show ENSO‑phase differences in rainfall, but sparse station coverage and limited 30‑year records require extended archives and caution in interpreting interpolated surfaces.
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chapters (12)
- 0:00Introduction and project overview
- 1:10Climate data and services context
- 3:16Climate station network in Vanuatu
- 5:22Requirements for climate mapping
- 7:50Tools and methodology for mapping
- 9:37Processing historical climate data
- 11:01ENSO phases and climate mapping
- 13:51Historical climate map examples
- 15:17Current climate mapping approach
- 17:46Satellite data for rainfall analysis
- 19:14Current climate map examples
- 20:21Q&A session
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