climatologyMeteorologyAtmosphere | National Agricultural Library

The National Stream Internet project

National Stream Internet (NSI) project was developed as a means of providing a consistent, flexible analytical infrastructure that can be applied with many types of stream data anywhere in the country. A key part of that infrastructure is the NSI network, a digital GIS layer which has a specific topological structure that was designed to work effectively with SSNMs. The NSI network was derived from the National Hydrography Dataset Plus, Version 2 (NHDPlusV2) following technical procedures that ensure compatibility with SSNMs.

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Sierra Ancha Experimental Forest (SAEF) Climate Data: 2000 - 2011

The Sierra Ancha Experimental Forest (SAEF) is a research area focused on studying watershed management. The Experimental Forest lies roughly 30 miles (48 km) northeast of Globe, Arizona, and is located within the Tonto National Forest. Tabular climate data for the SAEF are presented, including monthly and daily measurements for precipitation, temperature, and wind, for the years 2000 through 2011.

Sierra Ancha Experimental Forest,Tonto National Forest, Arizona (credit USFS)

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RF-CLASS: Remote-sensing-based Flood Crop Loss Assessment Service System

The Remote-sensing-based Flood Crop Loss Assessment Service System (RF-CLASS) is an Earth Observation (EO) based flood crop loss assessment cyber-service system operated by the Center for Spatial Information Science and Systems (CSISS), George Mason University. RF-CLASS supports flood-related crop statistics and insurance decision-making.

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Data from: Quality controlled research weather data – USDA-ARS, Bushland, Texas

The dataset contains 15-minute mean weather data from the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) for all days in 2016. The data are from sensors deployed at standard heights over grass that is irrigated and mowed during the growing season to reference evapotranspiration standards.

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NAL Agricultural Thesaurus and Glossary

The NAL Agricultural Thesaurus (NALT) was first released by the National Agricultural Library in 2002, with in-depth coverage of agriculture, biology, and related disciplines. It contains over 135,000 terms, including 63,000 cross references, and is arranged into 17 subject categories which are used to…

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Data from: Similarities among Test Sites Based on the Performance of Advanced Breeding Lines in the Great Plains Hard Winter Wheat Region

Data from USDA-ARS Hard Winter Wheat Regional Nurseries grown in 1987 to 2014 were used to identify similarities in agronomic performance and adaptation of experimental breeding lines among Great Plains test sites.

Data from: Vegetative Buffer Strips for Reducing Herbicide Transport in Runoff: Effects of Buffer Width, Vegetation, and Season

A multi‐year plot‐scale study was conducted on an eroded claypan soil to (1) assess the effects of buffer width, vegetation, and season on runoff transport of atrazine (ATR), metolachlor (MET), and glyphosate; (2) develop VBS design criteria for herbicides; and (3) compare differences in soil quality among vegetation treatments.

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Data from: Trends and sensitivities of low streamflow extremes to discharge timing and magnitude in Pacific Northwest mountain streams

The relative influences of total precipitation and air temperature on the annual low streamflow extremes are quantified from 42 Pacific Northwest stream gauges from 1948 to 2013 using mean annual streamflow as a proxy for precipitation amount effects and streamflow center of timing as a proxy for temperature effects on low flow metrics.

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Spatial Modeling for Resources Framework (SMRF) was developed at the USDA Agricultural Research Service (ARS) in Boise, ID, and was designed to increase the flexibility of taking measured weather data and distributing the point measurements across a watershed.

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Automated Water Supply Model (AWSM)

Automated Water Supply Model (AWSM) was developed at the USDA Agricultural Research Service in Boise, ID, to streamline the workflow used to forecast the water supply of multiple water basins.

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