Task #393
openIdentify Focal Regions
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Description
We need to identify the small number (3-5?) of focal regions that we will use for further validation after we finish with Oregon. These regions should coarsely represent the variety of global climates and include areas that we expect to be challenging (frequent clouds, topographic heterogeneity). Furthermore, we may want to select regions with unusually high station density so we can easily do cross validation and thin to explore the implications of fewer stations (while still having plenty of data for validation).
In previous calls we considered:- Oregon (currently working on this)
- Costa Rica
- South Africa (Adam has the complete South African weather station record)
- Norway (?)
Files
Updated by Rob Guralnick over 12 years ago
Natalie is ready to help MODIS data assembly once we have decided this. Can we plan to talk about this on the Tuesday call?
Updated by Adam Wilson over 12 years ago
The folks at NASA Ames suggested that scaling up to the globe will much easier to do if we process the data using the MODIS tiles (rather than arbitrary polygons like state boundaries). The are used to doing this and have much code to draw on that works on the tiles. So for the case study regions we may want to think about tiles rather than countries...
Updated by Rob Guralnick over 12 years ago
Do we want to look at a mediterranean-type climate? Guess western part of South Africa qualifies. Or interior temperate mountain climates, perhaps? Where else?
Updated by Adam Wilson over 12 years ago
- File testregions2.pdf testregions2.pdf added
We are currently proposing the following regions (and MODIS tiles):
Oregon: H08V04, H09V04, H08V05, H09V05
Venezuela: H10V07, H10V08, H11V7, H11V08, H12V07, H12V08
Norway: H18V02, H18V03, H19V02, H19V03
East Africa: H20V08, H21V08, H22V08, H20V09, H21V09, H22V09, H21V10
South Africa: H19V11, H20V11, H19V12, H20V12
Queensland: H31V10, H31V10, H32V10, H30V11, H31V11