Animation shows seasonal cycle of land-atmosphere coupling
The animation above shows the mean seasonal cycle (moving 30-day window) of global land-atmosphere coupling,
estimated from a blend of three reanalyses each covering about 3 decades, and two metrics; one measuring the terrestrial leg and one the atmospheric leg
of feedback from land to atmosphere. Green shaded areas show where the link between soil moisture and evaporation is strong,
but the atmosphere does not convey the signal from surface fluxes to boundary layer development. Blue areas show the opposite,
where the atmospheric link in the feedback loop is in place but the land surface does not convey soil moisture anomalies into
surface flux anomalies. Red regions have complete linkage and denote "hot spots" of land-atmosheric coupling, which grow,
shrink and migrate during the year.
Fascinating details are evident. L-A coupling over North America expands north from Mexico to Canada in the spring,
and retreats slowly in the fall. The onset and disspiation of coupling over Eurasia is much more abrupt. At low latitudes,
wet monsoon regions are largely uncoupled (black) but coupling is strong during the dry season. Some areas (e.g., in
Queensland, Austalia, Ethiopia or parts of India) remain hot spots throughout the year. Find your favorite corner of the world
and stare!
Building: Research Hall
Office: Room 266
Mail stop: 6C5
Phone: +1-703-993-5363
E-mail: pdirmeye
gmu.edu
p;
NASA: NNX13AQ21G
Diagnosis and Validation of Land-Atmosphere Feedback in Two Global Models 2013-2017
P.I.: Paul A. Dirmeyer (GMU)
Co-Is: Joseph Santanello (NASA/GSFC), Michael Bosilovich (NASA/GSFC), and Michael Ek (NOAA/NCEP/EMC)
Program:
NASA Modeling, Analysis and Prediction (MAP) Program
Products:
The Land-Atmosphere Coupling Metrics "Cheat Sheet"
Reports:
Final Report, October, 2018
Year 4 Progress Report, June, 2017
Year 3 Progress Report, June, 2016
Year 2 Progress Report, June, 2015
Year 1 Progress Report, June, 2014
Publications:
Dirmeyer, P. A., and H. E. Norton, 2018: Indications of Surface and Sub-Surface Hydrologic Properties from SMAP Soil Moisture Retrievals. Hydrology, 5, 36, doi: 10.3390/hydrology5030036.
Dirmeyer, P. A., J. Wu, H. E. Norton, W. A. Dorigo, S. M. Quiring, T. W. Ford, J. A. Santanello Jr., M. G. Bosilovich, M. B. Ek, R. D. Koster, G. Balsamo, and D. M. Lawrence, 2016: Confronting Weather and Climate Models with Observational Data from Soil Moisture Networks over the United States. Journal of Hydrometeorology, 17, 1049Ð1067, doi: 10.1175/JHM-D-15-0196.1.
Santanello, J. A, P. A. Dirmeyer, C. R. Ferguson, K. L. Findell, A. B. Tawfik, A. Berg, M. B. Ek, P. Gentine, B. Guillod, C. van Heerwaarden, J. Roundy, and V. Wulfmeyer, 2018: Land- Atmosphere Interactions: The LoCo Perspective. Bulletin of the American Meteorological Society, 99, 1253Ð1272, doi: 10.1175/BAMS-D-17-0001.1.
Wulfmeyer, V., D. D. Turner, B. Baker, R. Banta, A. Behrendt, T. Bonin, W. A. Brewer, M. Buban, A. Choukulkar, E. Dumas, R. M. Hardesty, T. Heus, J. Ingwersen, D. Lange, T. R. Lee, S. Metzendorf, S. K. Muppa, T. Meyers, R. Newsom, M. Osman, S. Raasch, J. Santanello, C. Senff, F. Späth, T. Wagner, and T. Weckwerth, 2018: A New Research Approach for Observing and Characterizing Land-Atmosphere Feedback. Bull. Amer. Meteor. Soc., doi: 10.1175/BAMS-D-17-0009.1.
Roundy, J. K., and J. A. Santanello, 2017: Utility of Satellite Remote Sensing for LandÐ Atmosphere Coupling and Drought Metrics. J. Hydrometeor., 18, 863Ð877, doi: 10.1175/JHM-D-16-0171.1.
Haughton, N., G. Abramowitz, A. J. Pitman, D. Or, M. J. Best, H. R. Johnson, G. Balsamo, A. Boone, M. Cuntz, B. Decharme, P. A. Dirmeyer, J. Dong, M. Ek, Z. Guo, V. Haverd, B. J. van den Hurk, G. S. Nearing, B. Pak, C. Peters-Lidard, J. A. Santanello Jr., L. Stevens and N. Vuichard, 2016: The plumbing of land surface models: why are models performing so poorly? J. Hydrometeor., 17, 1705-1723, doi: 10.1175/JHM-D-15-0171.1.
Best, M. J., G. Abramowitz, H. R. Johnson, A. J. Pitman, G. Balsamo, A. Boone, M. Cuntz, B. Decharme, P. A. Dirmeyer, J. Dong, M. Ek, Z. Guo, V. Haverd, B. J. J. van den Hurk, G. S. Nearing, B. Pak, C. Peters-Lidard, J. A. Santanello Jr., L. Stevens, and N. Vuichard, 2015: The plumbing of land surface models: benchmarking model performance. J. Hydrometeor., 16, 1425-1442, doi: 10.1175/JHM-D-14-0158.1.
Dirmeyer, P. A., C. Peters-Lidard, and G. Balsamo, 2015: Land-Atmosphere Interactions and the Water Cycle. [Chapter 8 in: Seamless Prediction of the Earth System: from Minutes to Months, (G Brunet, S Jones, PM Ruti Eds.)], World Meteorological Organization (WMO-No. 1156), Geneva.
Santanello, J. A., J. Roundy, and P. A. Dirmeyer, 2015: Quantifying the land-atmosphere coupling behavior in modern reanalysis products over the U.S. Southern Great Plains. J. Climate, 28, 5813-5829, doi: 10.1175/JCLI-D-14-00680.1.
Dirmeyer, P. A., 2014: The cusp of major progress in predicting land-atmosphere interactions. GEWEX News, 24(1-2), 15-18.