301. Alessandrini, Stefano; Rozoff, C. M. and Lewis, W. E.. Probabilistic prediction of hurricane intensity with an analog ensemble. Boston, MA, American Meteorological Society, 2016, Abstract 486.
302. Alessandrini, Stefano; Rozoff, C. M.; Lewis, W. E. and Delle Monache, L.. Tropical cyclone track prediction with an analog ensemble. Boston, MA, American Meteorological Society, 2018, Abstract 1C.6.
303. Alexandrov, Mikhail D.; Schmid, Beat; Turner, David D.; Cairns, Brian; Oinas, Valdar; Lacis, Andrew A.; Gutman, Seth I.; Westwater, Ed R.; Smirnov, Alexander and Eilers, James. Columnar water vapor retrievals from multifilter rotating shadowband radiometer data. Journal of Geophysical Research-Atmospheres, Volume: 114, 2009, doi:10.1029/2008JD010543. Reprint # 5931.
304. Alfaro-Contreras, Ricardo; Zhang, Jianglong; Campbell, James R.; Holz, Robert E. and Reid, Jeffrey S.. Evaluating the impact of aerosol particles above cloud on cloud optical depth retrievals from MODIS. Journal of Geophysical Research-Atmospheres, Volume: 119, Issue: 9, 2014. Reprint # 7224.
305.
Anastasia J. Tomanek, David E. Mikolajczyk, Matthew A. Lazzara, Stefano Di Battista, Minghu Ding, Mariana Fontolan Litell, David H. Bromwich, Taylor P. Norton, Linda M. Keller & Lee J. Welhouse. Extreme Antarctic Cold of Late Winter 2023. Volume: 41, pp.1873-1880.
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306. Anderson, Daniel C.; Nicely, J. M.; Salawitch, R. J.; Canty, T. P.; Dickerson, R. R.; Hanisco, T.; Wolfe, G. M.; Apel, E. C.; Atlas, E.; Bannan, T.; Bauguitte, S.; Blake, N. J.; Bresch, J.; Campos, T. L.; Carpenter, L.; Cohen, M.; Evans, M.; Fernandez, R. P.; Kahn, B. H.; Kinnison, D. E.; Hall, S.; Harris, N. R. P.; Hornbrook, R.; Lamarque, J. F.; Le Breton, M.; Lee, J.; Percival, C.; Pfister, L.; Pierce, R. B.; Riemer, D. D.; Salz-Lopez, A.; Thompson, A. M.; Ullmann, K.; Vaughn, A. and Weinheimer, A. J.. A tropical tropospheric source of high ozone/low water filaments. Boston, MA, American Meteorological Society, 2016, Abstract J10.2.
307.
Anderson, Daniel C.; Nicely, Julie M.; Salawitch, Ross J.; Canty, Timothy P.; Dickerson, Russell R.; Hanisco, Thomas F.; Wolfe, Glenn M.; Apel, Eric C.; Atlas, Elliot; Bannan, Thomas; Bauguitte, Stephane; Blake, Nicola J.; Bresch, James F.; Campos, Teresa L.; Carpenter, Lucy J.; Cohen, Mark D.; Evans, Mathew; Fernandex, Rafael P.; Kahn, Brian H.; Kinnison, Douglas E.; Hall, Samuel R.; Harris, Niel R. P.; Hornbrook, Rebecca S.; Lamarque, Jean-Francois; Le Breton, Michael; Lee, James D.; Percival, Carl; Pfister, Leonhard; Pierce, R. Bradley; Piemer, Daniel D.; Saiz-Lopez, Alfonso; Stunder, Barbara J. B.; Thompson, Anne M.; Ullmann, Kirk; Vaughan, Adam and Weinheimer, Andrew J.. A pervasive role for biomass burning in tropical high ozone/low water structures. Nature Communications, 13 January 2016, doi:10.1038/ncomms10267. Reprint # 7807.
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308. Anderson, Gail P.; Kneizys, Frank X.; Chetwynd, James H.; Rothman, Lawrence S.; Hoke, Michael L.; Berk, Alexandaer; Bernstein, Lawrence S.; Acharya, Prabhat K.; Snell, Hilary E.; Mlawer, Eli; Clough, Shepard A.; Wang, Jinxue; Lee, Szu-Chia; Revercomb, Henry; Yokota, Tatsuya; Kimball, Lucy M.; Shettle, Eric P.; Abreu, Leonard W. and Selby, John E.. Reviewing atmospheric radiative transfer modeling: New developments in high and moderate resolution FASCODE/FASE and MODTRAN. Bellingham, WA, SPIE-The International Society for Optical Engineering, 1996, pp.82-93. Reprint # 2714.
309. Anderson, J. G.; Dykema, J. A.; Gero, J.; Leroy, S. S.; Revercomb, H. E.; Tobin, D. C. and Best, F. A.. Union of science and societal objectives: Why did CLARREO resonate with NRC decadal survey priorities?. Washington, DC, American Geophysical Union, 2008, Abstract GC31B-01.
310. Anderson, Jim; Leroy, Stephen; Dykema, John; Gero, Jon; Revercomb, Hank; Kirk-Davidoff, Daniel and Rice, Joe. Benchmark climate observations from CLARREO: Spectrally resolved radiance, the climate record, and the development of quantitative constraints on climate model forecasting. Logan, UT, Space Dynamics Laboratory (SDL), Utah State University, 2007, PowerPoint presentation.
311. Anderson, John; Smith, W. L.; Beale, R. L; Robinson, D. Q.; Maggi, B. H.; Ackerman, S.; Achtor, T. H.; Whittaker, T. and Mooney, M.. Educational applications of the Science on a Sphere at the National Maritime Center. Boston, MA, American Meteorological Society, 2007, Abstract 2.4.
312. Anderson, M. C.; Bland, W. L.; Norman, J. M. and Diak, G. D.. Canopy wetness and humidity prediction using satellite and synoptic-scale meteorological observations. Plant Disease, Volume: 85, Issue: 9, 2001, pp.1018-1026. Reprint # 3686.
313. Anderson, M. C.; Hain, C. and Otkin, J.. Implimenting the remotely sensed Evaporative Stress Index globally using MODIS day/night land-surface temperatures. Washington, DC, American Geophysical Union, 2014, Abstract A13H-3276.
314. Anderson, M. C.; Hain, C.; Otkin, J. and Zhan, X.. Evaluation of a remotely sensed Evaporative tress Index for monitoring patterns of anomalous water use. Washington, DC, American Geophysical Union, 2012, Abstract H31L-06.
315. Anderson, M. C.; Norman, J. M.; Diak, G. R. and Kustas, W. P.. A simple method for estimating surface energy fluxes and air temperatures from satellite observations. Piscataway, NJ, Institute of Electrical and Electronic Engineers, Inc. (IEEE), 1996, pp.2104-2106. Reprint # 2916.
316. Anderson, M. C.; Norman, J. M.; Diak, G. R.; Kustas, W. P. and Mecikalski, J. R.. A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing. Remote Sensing of Environment, Volume: 60, Issue: 2, 1997, pp.195-216. Reprint # 2445.
317. Anderson, M. C.; Norman, J. M.; Kustas, W. P.; Prueger, J. H.; Neale, C. M. U.; MacPherson, J. I.; Mecikalski, J. R. and Diak, G. R.. Comparison of aircraft- and tower-measured fluxes acquired during SMACEX with predictions from a regional atmosphere-land exchange model. Boston, MA, American Meteorological Society, 2003, Paper 1.7. Reprint # 3284.
318. Anderson, M. C.; Norman, J. M.; Meyers, T. P. and Diak, G. R.. An analytical model for estimating canopy transpiration and carbon assimilation fluxes based on canopy light-use efficiency. Agricultural and Forest Meteorology, Volume: 101, Issue: 4, 2000, pp.265-289. Reprint # 2884.
319. Anderson, Martha C.; Bland, William L.; Diak, George R. and Norman, John M.. An automated cranberry frost forecasting system with real-time ingestion of surface and satellite observations. Boston, MA, American Meteorological Society, 1998, pp.5-6. Reprint # 3392.
320.
Anderson, Martha C.; Cammalleri, Carmelo; Hain, Christopher R.; Otkin, Jason; Zhan, Xiwu and Kustas, William. Using a diagnostic soil-plant-atmosphere model for monitoring drought at field to continental scales. Procedia Environmental Sciences, Volume: 19, 2014, pp.47-56. Reprint # 8034.
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321. Anderson, Martha C.; Diak, G.; Mecikalski, J. R. and Hain, C.. Calibrating GOES-based insolation products for climatological analyses of evapotranspiration of the US. Boston, MA, American Meteorological Society, 2012, Abstract J2.5.
322. Anderson, Martha C.; Hain, C.; Otkin, J. A. and Zhan, X.. Evaluation of a remotely sensed Evaporative Stress Index for monitoring patterns of anomalous water use. Boston, MA, American Meteorological Society, 2013, Abstract TJ7.6.
323.
Anderson, Martha C.; Hain, Christopher R.; Jurecka, Frantisek; Trnka, Miroslav; Hlavinka, Petr; Dulaney, Wayne; Otkin, Jason A.; Johnson, David and Gao, Feng. Relationships between the evaporative stress index and winter wheat and spring barley yield anomalies in the Czech Republic. Climate Research, Volume: 70, Issue: 2, 2017, pp.215-230. Reprint # 7902.
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324.
Anderson, Martha C.; Hain, Christopher; Otkin, Jason; Zhan, Xiwu; Mo, Kingtse; Svoboda, Mark; Wardlow, Brian and Pimstein, Agustin. An intercomparison of drought indicators based on thermal remote sensing and NLDAS-2 simulations with U.S. drought monitor classifications. Journal of Hydrometeorology, Volume: 14, Issue: 4, 2013. Reprint # 7065.
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325. Anderson, Martha C.; Norman, John M.; Mecikalski, John R.; Otkin, Jason A. and Kustas, William P.. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: I. Model formulation. Journal of Geophysical Research-Atmospheres, Volume: 112, 2007, doi:10.1029/2006JD007506. Reprint # 5360.