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From 05/16/2012 to 06/14/2012

06/14/2012

12:34 PM Task #430: Estimate total storage size of daily 1970-2010 1km dataset
And this is for just one variable. So multiply by three for tmax, tmin, and ppt. And add more if we add any pixel-by... Adam Wilson
12:32 PM Task #430 (New): Estimate total storage size of daily 1970-2010 1km dataset
I was curious how big the daily 1970-2010 1km dataset was going to be, so I did a back-of-the-envelope calculation as... Adam Wilson

06/05/2012

11:23 AM Task #363: Assemble all GHCN data into a single database
I did a 30 year query during the night for the 1980-2010 period for the Oregon study area. I just checked the results... Benoit Parmentier
12:35 AM Task #363: Assemble all GHCN data into a single database
A short R script was added to select stations data from the postgres database created by Jim. The user must provide a... Benoit Parmentier
12:27 AM Task #364: Integrate spatial variables and structure in the GAM methodology
Two stage regression: the GAM+Kriging script was updated to integrate specific and general diagnostics:
general diag...
Benoit Parmentier

06/01/2012

12:54 PM Task #423 (New): Develop stratified station sampling procedure
We need to develop a procedure to sample representative stations to use in fitting and validation. In many areas (in... Adam Wilson
12:43 PM Task #415: Process MOD06_L2 Cloud data
I've downloaded and processed the full 10 archive for Oregon and generated monthly climatologies for "Cloud Optical T... Adam Wilson
09:57 AM Task #363: Assemble all GHCN data into a single database
Finished loading the new TMAX, TMIN, and PRCP data (just under 12 hours) and creating the station index (just over 13... Jim Regetz

05/30/2012

03:38 PM Task #363: Assemble all GHCN data into a single database
I wrote and ran a little bash script to download the latest GHCN data and generate a basic log file for future refere... Jim Regetz

05/25/2012

03:21 PM Task #363: Assemble all GHCN data into a single database
The daily data files currently in the database were obtained back in Oct 2010. Benoit and I discussed simply augmenti... Jim Regetz
09:05 AM Task #419 (In Progress): Assessment of results in the context of the literature: Literature review and accuracy
Documenting the new products will necessitate assembling a list of references on climate interpolation to place the r... Benoit Parmentier

05/22/2012

10:14 AM Task #363: Assemble all GHCN data into a single database
If useful for some specific purpose, we could generate relevant synoptic views or subsetted table dumps pivoted back ... Jim Regetz
08:25 AM Task #363: Assemble all GHCN data into a single database
Perhaps it would make sense to keep the data in the "one-row-per-month" format in the database and transform it on th... Adam Wilson
07:52 AM Task #418 (New): Explore Landcover - LST interactions
Use the full gridded datasets (rather than just station locations) to explore relationships between LST and various (... Adam Wilson

05/17/2012

11:38 PM Task #416: Scope out workflow for calculating monthly LST climatologies
I've now written some Python+GRASS code to do a good bit of what I think we want. For a user-specified _tile_, _year_... Jim Regetz
03:05 PM Task #416 (In Progress): Scope out workflow for calculating monthly LST climatologies
Assess feasibility of running LST climatologies ourselves by implementing a basic scripted workflow and estimating ov... Jim Regetz
03:44 PM Task #375: Assemble monthly mean MODIS LST values for the complete record (2000-2012) for Oregon
See task #416 for progress on developing and evaluating a procedure for doing this ourselves.
But I will add a com...
Jim Regetz

05/16/2012

12:01 PM Task #207: Produce global fused DEM layer
A global 90m product is now available, though the individual pieces have not been mosaiced together due to file size.... Natalie Robinson
06:40 AM Task #415: Process MOD06_L2 Cloud data
See presentation on current progress here [[https://projects.nceas.ucsb.edu/nceas/documents/18]] Adam Wilson
06:40 AM Task #415 (New): Process MOD06_L2 Cloud data
Download and process the MODIS cloud product (MOD06_L2) and produce monthly 1km summaries of key variables. Adam Wilson
 

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