Updates to MOD06 Climatology Script and MDO06 processing to isolate the effects of the MOD35 -landcover bias
Adjusted handling of cloud flag to 'hopefully' improve missing data problem in MOD06 climatology
restructured MOD06 processing routine to eliminate functions for more transparent (linear) processing. Also updated to run on either pleiades or litoria
Merge branch 'aw/precip' of code.nceas.ucsb.edu:environmental-layers into aw/precip
Adding intial code to process the NDP-026D station cloud climatology dataset
Updated submit script to process multiple tiles and days in the same batch. Also separated the daily processing from the climatologies
Merging with Pleiades copy
Merging with Pleiades copies
Adding Climatology script to process daily files to climatologies
Identified problem in handling of missing values of MOD06 product. In some areas limiting quality control to the highest quality results in ~90% NAs.
initial script to handle modified netcdf files from Pleiades.R script
Merging GAM_LST script from bp/interp to aw/precip
Merging with remote branch"
Updated summary script to work with netcdf output files
MOD06 processing running successfully using Pleiades environment set up by Andrew Michaelis at NASA.
Script now runs except ncap2 is missing from the nco module
Currently submission hangs using mqueue when loading rgdal library. Will attempt to add a separate submission script that first loads modules before running Rscript on the slaves
MOD06_L2 now running properly but Rmpi is not running due to (probably) incompatability between Rmpi and the version of sgi-mpi available on Pleiades
Updated script to accurately set paths for HEG tool to facilitate parallel processing of gridding procedure using swtif. Multicore package is used to parallelize which limits processing to a single node. Next step is to explore use of foreach package to allow multiple nodes
Updated MOD06 process to output NetCDF files instead of geotif for faster post-processing
Resolved problem with temporary directory for Rscript call.
Script is successfully running and producing the summary files, though the output looks strange. Maybe a problem with sinusoidal output of HEG? Use Pleiades.R to drive the submission and MOD06_L2_process as the processing script
Successfully running MOD06 processing on Pleiades as an array job (though submissions are limited to < 365 jobs so will have to find another way to submit them)
Started working with script to process MOD05 on NASA's Pleiades
Added script to evaluate climatic stationarity (Task #479)
Updates to run 12 months of mean daily precipitation using a variety of models. Includes using gamm() to incorporate spatial effects in addition to the smooth parameters. Not all clean and cozy yet, uploading as a work-in-progress...
Further updates to interpolation procedures including:
1) bugfix in MOD06_L2_data_compile. Root access is needed to run swtif in its current directory (bad design!).2) Switched to UTM output from swtif (from sinusoidal) becuase it looked like gdal was struggling with integerized sinusoidal...
Modified GAM.R interpolation script to 1) simplify validation results, 2) add full prediction (rather than just stations) and 3) some other (hopefully) simplifications and improvements.
Updated GHCN_stations script to:
1) draw station location information from postgres database and perform merge/join query within database rather than r2) add function to buffer region of interest to include stations outside region (to minimize edge effects)
Merging with bp/interp to use some of Benoit's code for precip interpolation
Merge branch 'bp/interp' into aw/precip
More updates to output plots
OR data preparation, initial commit for extraction of covariates from raster stack
OR data preparation task#363, modified code for ghcn to create a shapefile
Added initial version of LST_Landcover exploration (not finished). Also moved prior version of interpolation procedure (bayesian krig) into repository.
Minor updates to dataset size calculation
added processing for 'very cloudy days'
Added PRISM comparison to MOD06_summary and added script to calculate 'back-of-the-envelope' estimates of total daily climate layer sizes
GHNCD station data selection using Postgres database, initial commit, task #363
GAM LST, added specific and general diagnostic measures (e.g.MAE) GAM+Kriging, task #364 and #406
Updated MOD06 compile script to process the tiles in parallel using GRASS. This brings processing time for 10 year archive for oregon from 48 hours to ~2 hours on 24 cores. Also added several exploratory analysis to the data_summary script.
Added cloud flag to outputs
First 10-year processing of daily mean tifs
First full processing of daily mean tifs
GAM LST, adding lines to summarize samling RMSE using plots, task #409
GAM LST, first code to test effect of sampling on GAM, task #409
GAM LST, added model and modified summary plots, run on 365 dates GAM+Kriging, task #364 and #406
GAM LST, modify code to generalize number of models and assessment,GAM+Kriging task #364
GAM LST, major modifications to create GAM+Kriging code, task #364
GAM LST, adding lines to assess RMSE per month over 365 dates, task #406
GAM LST, added model with forest only term -364 dates assessment, task #406
GAM LST, added section to save training and test residuals in shapefiles, task #361
GAM LST, changed triple nesting lat,long,Elev to double, 365 dates run, task #406 and #361
GAM LST, used monthly LST average instead of daily, task #361
GAM LST, adding new model with grass land cover, task #361
GAM using LST as input variable task #361
GAM, modification of nesting of models and clean up, task #361
Kriging, adding LST for co-kriging: task #364
Kriging, slight modification and clean up, task #364
Kriging, modification to save kriged surfaces in geotiff and png files, task #364
Kriging, modifying code to save training and testing samples in shapefiles: task #364
Kriging for OR, this is the first script, task #364
GWR modified code to save plots and images, task #364
GWR assessment by visualizing residuals using kriging
GWR in adding loop for 10 dates
GWR first script for one date in OR, task #364
MOD06 processing runs well in sequence, but not parallel
Reorganization: moved mindmap to it's own directory to isolate temporary files created when exporting to other formats
Add initial version of the 'mind map' for the interpolation project. This file contains an outline of the various stages of the project and links back to issues and code in the blessed repository.Created during Benoit's visit to Yale May 21-22.
Adding some MOD06 (cloud product) processing routines. Still a work in progress
Initial commit
Added 3 new models and nesting to GAM, task #361
Changes in the diagnostics plots, barplots.
Transform aspect in Eastness and Northness variables in the GAM.
Transformed the aspect variable and added GAM model closer to PRISM
GAM prediction added to the loop with RMSE calculation
Streamlining and slight changes to the loop to create subset dataset for different dates
Additional changes to the loop and format
Start of Task #361, modified code to subset for 10 dates
Minor format changes and clean up to code
Corrected errors in RMSE calculation and added plots to view results
simplified code by using 'a' flag for r.neighbors (improves 3abda63)
reorganized AML terrain scripts to reduce superficial redundancy
made minor changes to PRISM variables
changed RMSE and AIC code in GAM script
updated GAM script for tmax
added initial R script with GAM regression for tmax (one date)
renamed script to multiscalesmooth.R
numerous comment, format, and variable name changes
now actually refining before smoothing (GRASS version)
reversed order of refine-and-smooth step
added GRASS/Python implementation of multiscale smoother
added R script to run multiscalesmooth example on Oregon SRTM
switched to more accurate chisq test
enhanced smoother to accept sd as a raster, not just a constant
tweaked var names to match Gallant pub; added comments
fixed vwg step
continued R translation of multiscale smoother