Search Results

You are looking at 1 - 4 of 4 items for :

  • Infrared radiation x
  • Advancing Drought Monitoring and Prediction x
  • All content x
Clear All
Martha C. Anderson, Christopher Hain, Jason Otkin, Xiwu Zhan, Kingtse Mo, Mark Svoboda, Brian Wardlow, and Agustin Pimstein

drought response index (VegDRI; Brown et al. 2008 ) and the Moderate Resolution Imaging Spectroradiometer (MODIS)-based drought severity index ( Mu et al. 2013 ). In contrast, land surface temperature (LST) is a rapid response variable, and it can be readily sampled over a range in spatial resolution—from field to continental scales—using thermal infrared (TIR) satellite imagery. Drought signals in LST are conveyed by increases in soil and canopy temperatures as soil moisture deficits and vegetation

Restricted access
Jason A. Otkin, Martha C. Anderson, Christopher Hain, Iliana E. Mladenova, Jeffrey B. Basara, and Mark Svoboda

deficits, its utility is still limited because it does not account for temperature, wind, and radiation anomalies associated with flash drought development. Flash droughts can occur even when the SPI indicates only moderate precipitation deficits. The Palmer drought severity index ( Palmer 1965 ) uses both precipitation and temperature observations, but it is more effective at identifying long-term drought conditions developing over a period of several months or more because the index responds slowly

Restricted access
Sujay V. Kumar, Christa D. Peters-Lidard, David Mocko, Rolf Reichle, Yuqiong Liu, Kristi R. Arsenault, Youlong Xia, Michael Ek, George Riggs, Ben Livneh, and Michael Cosh

to the visible or near-infrared-based snow cover fraction (SCF) products, the passive microwave–based SWE or snow depth products are typically coarser in resolution and lower in accuracy ( Foster et al. 2005 ; Dong et al. 2005 ). As a result, studies that employ the assimilation of passive microwave–based retrievals have reported only limited success ( Andreadis and Lettenmaier 2006 ; Dong et al. 2007 ). In a more recent study, De Lannoy et al. (2012) present results from the joint

Full access
Eric F. Wood, Siegfried D. Schubert, Andrew W. Wood, Christa D. Peters-Lidard, Kingtse C. Mo, Annarita Mariotti, and Roger S. Pulwarty

the NCEP Environmental Modeling Center, NLDAS runs four land surface models at an hourly time step for a region enclosing CONUS at ⅛°. The associated forcing inputs (e.g., precipitation, temperature, humidity, wind speed, and radiation) and land surface model outputs (e.g., soil moisture, snow water equivalent, and evapotranspiration) represent a central thrust of science-based advances in drought monitoring and the core component of an effort to advance a national DEWS in support of NIDIS. For

Full access