RGDSS_Historic_CUreport_20040601

• Title: RGDSS - Rio Grande Historic Crop Consumptive Use Analysis
• Description: The documentation is for the Rio Grande Basin Historic Crop Consumptive Use Analysis, developed during the RGDSS implementation for the period 1950 through 2002. It includes 100 percent of the crop consumptive use in the basin for the period. Documentation consists of the final Historic Crop Consumptive Use Analysis Report and supporting appendices.
• Decision Support - Doc Type: Modeling Dataset Documentation
• Date: 6/1/2004
• DSS Category: Consumptive Use
• DSS: Rio Grande
• Basin: Rio Grande
• Contract/PO #: C153863
• Grant Type: Non-Reimbursable
• Bill Number: HB98-1189, SB99-173
• Prepared By: Leonard Rice Engineering

RGDSS Memorandum
Final
To: Ray Bennett, Ray Alvarado, Andy Moore
From: LRCWE, Erin Wilson and Janet Williams
Subject: Rio Grande Historic Crop Consumptive Use -Climate Data
Date: October 28, 1999
Overview
This memorandum presents the approach and results obtained for the Consumptive Use and
Water Budget Component Subtask 3.1 -Select and Fill Key Climate Stations.
The estimation of potential crop consumptive use requires climate data for temperature,
precipitation and frost dates. For the Rio Grande Historic Crop Consumptive Use Analysis and
the Rio Grande Water Resource Planning Model Application, climate data sets were generated
through a data centered approach.
General Approach
For the generation of climate data sets for RGDSS modeling, linear regression was used to fill
the temperature data sets, and long-term averages were used to fill missing precipitation and frost
date data for calendar years 1950 through 1997. The filling processes are described in more
detail below.
Filling of Missing Values in the Temperature Data Sets
Linear regression requires dependant (to be filled) and independent (to be used as the basis for
filling) data sets. Two weather stations in the Rio Grande Basin were selected for use as primary
independent data sets based on their completeness of historic record during the 1950 through
1997 period and their goodness of fit coefficients (r~) in regressions with the remaining stations.
The two stations selected for use as potential primary independent data sets were:
• Alamosa WSO AP (NWS No. 130, 1948-1997) with missing values for 12 months during the
1950-1997 period.
• Del Norte (NWS No. 2184, 1948-1997) with missing values for 43 months during the 1950-
1997 period.
Missing data in the Alamosa temperature data set were filled using Del Norte as the independent
data set, based on its high correlation coefficient with Alamosa and because there were no
missing monthly values between the two stations. The regression between Alamosa and Del
Norte was performed using the DMI tstool. Regressions were then performed between unfilled
temperature series for Alamosa and other stations, and between filled temperature series for
appendD_cropcu.doc D-1 of D-9 10/28/99