02/29/2012

06:27 PM Task #359: Test GAM method to produce Tmax for one day (OREGON): r script

Assessment of the statistical models for interpolation must rely on diagnostic statistics. This step will help in sel... Benoit Parmentier

02/23/2012

02:24 PM Task #364 (New): Integrate spatial variables and structure in the GAM methodology

MODIS LST time series provide information on the structure and spatial variability of skin temperature. This informat... Benoit Parmentier

01:19 PM Task #359 (In Progress): Test GAM method to produce Tmax for one day (OREGON): r script

Benoit Parmentier

11:48 AM Task #359 (In Progress): Test GAM method to produce Tmax for one day (OREGON): r script

This is a first attempt at producing predicted values from meteorological station data.
Two methods were tested in a... Benoit Parmentier

01:13 PM Task #363 (In Progress): Assemble all GHCN data into a single database

Meteorological station data used in the project was downloaded from the Global Historical Climate Network (GHCN). Thi... Benoit Parmentier

12:24 PM Task #362 (New): Decide on a map projection for the Oregon case study

The project has so far utilized the MODIS sinusoidal projection to store the relevant input GIS data layers (e.g. SRT... Benoit Parmentier

12:16 PM Task #361 (In Progress): Test and compare the GAM method on several days (10 days for now) for Oregon

The GAM regression is applied on a set of 10 days spread over a year to test its performance. We expect changes in th... Benoit Parmentier

12:06 PM Task #360 (In Progress): Producing, formatting and extracting variables for the GAM regression (OREGON)

GIS data layers developed in the past few months and meteorological station data are used to create a first "pilot" d... Benoit Parmentier