Using a Diagnostic Soil-Plant-Atmosphere Model for Monitoring Drought at Field to Continental Scales

Drought assessment is a complex undertaking, requiring monitoring of deficiencies in multiple components of the hydrologic budget. Precipitation anomalies reflect variability in water supply to the land surface, while soil moisture, groundwater and surface water anomalies reflect deficiencies in moisture storage. In contrast, evapotranspiration (ET) anomalies provide unique yet complementary information, reflecting variations in actual water use by crops – a useful diagnostic of vegetation health. Here we describe a remotely sensed Evaporative Stress Index (ESI) based on anomalies in actual-to-reference ET ratio. Actual ET is retrieved from thermal remote sensing data using a diagnostic soil-plant-atmosphere modeling system forced by measurements of morning land-surface temperature (LST) rise from geostationary satellites. In comparison with vegetation indices, LST is a relatively fast-response variable, with the potential for providing early warning of crop stress reflected in increasing canopy temperatures. Spatiotemporal patterns in ESI have been compared with patterns in the U.S. Drought Monitor and in standard precipitation-based indices, demonstrating reasonable agreement. However, because ESI does not use precipitation as an input, it provides an independent assessment of evolving drought conditions, and is more portable to data-sparse parts of the world lacking dense rain-gauge and Doppler radar networks. Integrating LST information from geostationary and polar orbiting systems through data fusion, the ESI has unique potential for sensing moisture stress at field scale, with potential benefits to yield estimation and loss compensation efforts. The ESI is routinely produced over the continental U.S. using data from the Geostationary Operational Environmental Satellites, with expansion to North and South America underway. In addition drought and ET monitoring applications are being developed over Africa and Europe using land-surface products from the Meteosat Second Generation (MSG) platform.

[1]  William P. Kustas,et al.  Time Difference Methods for Monitoring Regional Scale Heat Fluxes with Remote Sensing , 2013 .

[2]  Martha C. Anderson,et al.  A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation , 2007 .

[3]  Xiaodong Yan,et al.  Climate change and drought: a risk assessment of crop-yield impacts. , 2009 .

[4]  J. Norman,et al.  Remote sensing of surface energy fluxes at 101‐m pixel resolutions , 2003 .

[5]  Martha C. Anderson,et al.  Examining Rapid Onset Drought Development Using the Thermal Infrared–Based Evaporative Stress Index , 2013 .

[6]  A. Fehér,et al.  The effect of drought and heat stress on reproductive processes in cereals. , 2007, Plant, cell & environment.

[7]  Wade T. Crow,et al.  An objective methodology for merging satellite‐ and model‐based soil moisture products , 2012 .

[8]  T. McKee,et al.  THE RELATIONSHIP OF DROUGHT FREQUENCY AND DURATION TO TIME SCALES , 1993 .

[9]  Martha C. Anderson,et al.  A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 2. Surface moisture climatology , 2007 .

[10]  M. Ek,et al.  Comparative analysis of relationships between NLDAS‐2 forcings and model outputs , 2012 .

[11]  Vimal Mishra,et al.  Retrospective droughts in the crop growing season: Implications to corn and soybean yield in the Midwestern United States , 2010 .

[12]  Martha C. Anderson,et al.  Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX’08 field campaign , 2012 .

[13]  Jiri Nekovar,et al.  Use of a soil moisture network for drought monitoring in the Czech Republic , 2011, Theoretical and Applied Climatology.

[14]  Kenneth R. Knapp,et al.  Scientific data stewardship of international satellite cloud climatology project B1 global geostationary observations , 2008 .

[15]  Berien Elbersen,et al.  Geoland2 - towards an operational GMES Land Monitoring Core Service , 2009 .

[16]  James W. Jones,et al.  The DSSAT cropping system model , 2003 .

[17]  M. Kirkham,et al.  Response of Aegilops species to drought stress during reproductive stages of development. , 2012, Functional plant biology : FPB.

[18]  Martha C. Anderson,et al.  Towards an integrated soil moisture drought monitor for East Africa , 2012 .

[19]  M. Moran,et al.  Thermal infrared measurement as an indicator of plant ecosystem health , 2003 .

[20]  Martha C. Anderson,et al.  An Intercomparison of Drought Indicators Based on Thermal Remote Sensing and NLDAS-2 Simulations with U.S. Drought Monitor Classifications , 2013 .

[21]  Wade T. Crow,et al.  An ensemble Kalman filter dual assimilation of thermal infrared and microwave satellite observations of soil moisture into the Noah land surface model , 2012 .

[22]  J. Norman,et al.  Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature , 1995 .

[23]  S. C. Geijn,et al.  Climate Change Effects on Plant Growth, Crop Yield and Livestock , 1999 .

[24]  K. McNaughton,et al.  A mixed-layer model for regional evaporation , 1986 .

[25]  Mathew R. Schwaller,et al.  On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[26]  T. Tadesse,et al.  The Vegetation Drought Response Index (VegDRI): A New Integrated Approach for Monitoring Drought Stress in Vegetation , 2008 .

[27]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[28]  Martha C. Anderson,et al.  A Two-Source Time-Integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing , 1997 .

[29]  M. Palecki,et al.  THE DROUGHT MONITOR , 2002 .

[30]  Martha C. Anderson,et al.  Retrieval of an Available Water-Based Soil Moisture Proxy from Thermal Infrared Remote Sensing. Part I: Methodology and Validation , 2009 .

[31]  Frédéric Baret,et al.  GEOLAND2 - Towards an operational GMES land monitoring core service; first results of the biogeophysical parameter core mapping service , 2010 .

[32]  T. McKee,et al.  Drought monitoring with multiple time scales , 1995 .

[33]  Mark E. Westgate,et al.  Reproductive Development in Grain Crops during Drought , 1999 .

[34]  Martha C. Anderson,et al.  A Multiscale Remote Sensing Model for Disaggregating Regional Fluxes to Micrometeorological Scales , 2004 .

[35]  K. Mo,et al.  Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products , 2012 .

[36]  Martha C. Anderson,et al.  Evaluation of Drought Indices Based on Thermal Remote Sensing of Evapotranspiration over the Continental United States , 2011 .