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From 04/28/2012 to 05/27/2012

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

05/15/2012

11:22 AM Task #411 (In Progress): Insert DEM adaptive smoothing procedure into terrain workflow
I developed two alternative implementations of the adaptive DEM smoothing procedure (@multiscalesmooth9a_clean.aml@):... Jim Regetz
09:52 AM Task #411 (In Progress): Insert DEM adaptive smoothing procedure into terrain workflow
The original Oregon terrain processing workflow, implemented as a set of AML scripts, included the application of Joh... Jim Regetz
09:57 AM Task #208: Evaluate existing E&O AML scripts
I recently reorganized all AML scripts into a single directory in the code repo, here:
source:terrain/research/orego...
Jim Regetz

05/14/2012

10:00 AM Task #363: Assemble all GHCN data into a single database
Quick example comparing SQLite vs PostgreSQL timings on a simple aggregate query that doesn't use any indexes. SQLite... Jim Regetz

05/13/2012

11:16 PM Task #363: Assemble all GHCN data into a single database
Vaguely concerned about performance and manageability of such a large SQLite database, I wrote a second script to loa... Jim Regetz
11:14 PM Task #363: Assemble all GHCN data into a single database
Belated update. The TMIN/TMAX data loaded in ~6 hours total, yielding a 25GB SQLite file with nearly 600 million rows. Jim Regetz

05/10/2012

08:49 AM Task #363: Assemble all GHCN data into a single database
Data loading slowed to a crawl overnight, thanks to a record count query tucked inside in the bulk insert function th... Jim Regetz

05/09/2012

11:49 PM Task #363: Assemble all GHCN data into a single database
Committed an R script that orchestrates the processing and loading of all 75000+ *.dly files into a SQLite database. ... Jim Regetz
11:10 AM Task #363 (In Progress): Assemble all GHCN data into a single database
We decided to organize and load _all_ available GHCN data (i.e., all dates and stations, globally) into SQLite databa... Jim Regetz
03:40 PM Task #408: Capturing LST spatial structure using spatial eigenvectors
I started writing the R code using the two functions from spdep package: ME() and SpatialFiltering()
I am trying to ...
Benoit Parmentier
03:32 PM Task #364: Integrate spatial variables and structure in the GAM methodology
I am currently exploring a two stage regression involving:
1) Step 1: GAM models using Lat, long, ELEV_SRTM, DISTOC,...
Benoit Parmentier

05/08/2012

04:31 PM Task #406: OR-GAM predictions-model assessment over 365 dates, year 2010
RMSE were calculated per month over the year 2010. Results show that contrary to my expectation RMSE are higher in S... Benoit Parmentier

05/02/2012

11:57 AM Task #393: Identify Focal Regions
We are currently proposing the following regions (and MODIS tiles):
Oregon: H08V04, H09V04, H08V05, H09V0...
Adam Wilson

05/01/2012

02:24 PM Task #361: Test and compare the GAM method on several days (10 days for now) for Oregon
Many models have been explored using the GAM methodology. At this stage, more detailed diagnostics is needed so for t... Benoit Parmentier
02:16 PM Task #409 (New): Effect of sampling on GAM: hold out proportions and sampling observations
This task examines the effect of the sampling and hold out proportions on tmax predictions. This task will help in de... Benoit Parmentier
02:08 PM Task #364: Integrate spatial variables and structure in the GAM methodology
Kriging has been done so far by using variograms fitted from stations' locations. The next step is to examine the fit... Benoit Parmentier
02:03 PM Task #408 (New): Capturing LST spatial structure using spatial eigenvectors
Spatial filtering is explored to assess its usefulness in capturing the LST spatial structure by creating spatial var... Benoit Parmentier
01:56 PM Task #406 (New): OR-GAM predictions-model assessment over 365 dates, year 2010
Models have so far been assessed on 10 dates spread over the year for the Oregon study area. This task provides an as... Benoit Parmentier
01:20 PM Task #375: Assemble monthly mean MODIS LST values for the complete record (2000-2012) for Oregon
The NASA Ames team is willing to generate the monthly LST climatologies, but we'll need to be specific about what we ... Adam Wilson
01:20 PM Task #393: Identify Focal Regions
Do we want to look at a mediterranean-type climate? Guess western part of South Africa qualifies. Or interior tempe... Rob Guralnick
01:13 PM Task #393: Identify Focal Regions
The folks at NASA Ames suggested that scaling up to the globe will much easier to do if we process the data using the... Adam Wilson
 

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