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Full-Text Articles in Physical Sciences and Mathematics
Monitoring Drought In The Midwest, Steve Hilberg
Monitoring Drought In The Midwest, Steve Hilberg
2011 Symposium on Data-Driven Approaches to Droughts
Climate monitoring is one component of the mission of the Regional Climate Centers, and the Midwestern Regional Climate Center (MRCC) has created web pages to provide near real-time monitoring of the weather and climate of the Midwest. A dedicated drought monitoring page was developed by the MRCC to provide a snapshot of current moisture conditions in the region using a number of specialized maps and products. Users are able to drill down to state and local conditions and impacts through links to the respective state climate offices and water resources agencies.
Monitoring Drought Across Many Scales, Chris Funk
Monitoring Drought Across Many Scales, Chris Funk
2011 Symposium on Data-Driven Approaches to Droughts
Monitoring drought across many scales Chris Funk As gas and food prices increase while per capita harvested area decreases, drought and disruptions in food availability exert more and more pressure on the political and economic stability of ‘frailed’ states. Improved drought monitoring across many spatial and temporal time scales has therefore become increasingly important. As this need mounts, so have our capacities to observe and understand the earth’s climate. Relatively new satellite systems, such as the Moderate Resolution Imaging Spectrometer, allow us to watch the earth at scales of ~100 meters. Improved rainfall retrievals give us more timely and accurate …
A Modified Standardized Precipitation Index For Drought Monitoring, Brent Mcroberts, John Nielsen-Gammon
A Modified Standardized Precipitation Index For Drought Monitoring, Brent Mcroberts, John Nielsen-Gammon
2011 Symposium on Data-Driven Approaches to Droughts
The SPI Blend is a modified Standardized Precipitation Index (SPI) created for use in a newly developed, high-resolution drought monitoring tool, assessing drought using precipitation data on multiple time scales. Unlike the traditional SPI, the SPI Blend uses a linear weighting system that places a higher importance on recent precipitation within a time period. At each time scale, the MPE precipitation data are divided into several periods and the precipitation total from the most recent period is given the highest weight, with a linear decrease in the weights for succeeding periods. The high-resolution (4 km) precipitation data are obtained daily …