Relevant bibliographies by topics / Weather states

Academic literature on the topic 'Weather states'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Weather states"

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Craft, Erik D. "Private Weather Organizations and the Founding of the United States Weather Bureau." Journal of Economic History 59, no. 4 (December 1999): 1063–71. http://dx.doi.org/10.1017/s0022050700024141.

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Goodman, Christopher J., and Jennifer D. Small Griswold. "Meteorological Impacts on Commercial Aviation Delays and Cancellations in the Continental United States." Journal of Applied Meteorology and Climatology 58, no. 3 (March 2019): 479–94. http://dx.doi.org/10.1175/jamc-d-17-0277.1.

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AbstractWeather creates numerous operational and safety hazards within the National Airspace System (NAS). In 2014, extreme weather events attributed 4.3% to the total number of delay minutes recorded by the Bureau of Transportation Statistics. When factoring weather’s impact on the NAS delays and aircraft arriving late delays, weather was responsible for 32.6% of the total number of delay minutes recorded. Hourly surface meteorological aviation routine weather reports (METARs) at major airports can be used to provide valuable insight into the likely causes of weather delays at individual airports. When combined with the Federal Aviation Administration’s (FAA’s) Operations Network (OPSNET) delay data, METARs can be used to identify the major causes of delays and to create delay climatologies for a specific airport. Also, patterns for delays and cancellations for the study period of 2003–15 can be identified for the individual airports included in this study. These patterns can be useful for operators and airport planners to optimize performance in the future.
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Monmonier, Mark. "Telegraphy, iconography, and the weather map: Cartographic weather reports by the United States Weather Bureau, 1870–1935." Imago Mundi 40, no. 1 (January 1988): 15–31. http://dx.doi.org/10.1080/03085698808592636.

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Simmering, Jacob E., Linnea A. Polgreen, Douglas B. Hornick, Daniel K. Sewell, and Philip M. Polgreen. "Weather-Dependent Risk for Legionnaires’ Disease, United States." Emerging Infectious Diseases 23, no. 11 (November 2017): 1843–51. http://dx.doi.org/10.3201/eid2311.170137.

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Maddox, Robert A., Jian Zhang, Jonathan J. Gourley, and Kenneth W. Howard. "Weather Radar Coverage over the Contiguous United States." Weather and Forecasting 17, no. 4 (August 2002): 927–34. http://dx.doi.org/10.1175/1520-0434(2002)017<0927:wrcotc>2.0.co;2.

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LeComte, Doug. "Weather of 1990: Highlights in the United States…" Weatherwise 44, no. 1 (February 1991): 8–12. http://dx.doi.org/10.1080/00431672.1991.9927150.

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Changnon, Stanley A., and Geoffrey J. D. Hewings. "Losses from Weather Extremes in the United States." Natural Hazards Review 2, no. 3 (August 2001): 113–23. http://dx.doi.org/10.1061/(asce)1527-6988(2001)2:3(113).

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Le Comte, Douglas. "United States Weather Highlights 2006: The Temperature Rises." Weatherwise 60, no. 2 (January 2007): 26–33. http://dx.doi.org/10.3200/wewi.60.2.26-33.

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Lee, Dongmin, Lazaros Oreopoulos, George J. Huffman, William B. Rossow, and In-Sik Kang. "The Precipitation Characteristics of ISCCP Tropical Weather States." Journal of Climate 26, no. 3 (February 1, 2013): 772–88. http://dx.doi.org/10.1175/jcli-d-11-00718.1.

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Abstract The authors examine the daytime precipitation characteristics of the International Satellite Cloud Climatology Project (ISCCP) weather states in the extended tropics (35°S–35°N) for a 10-yr period. The main precipitation dataset used is the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis operational product 3B42 dataset, but Global Precipitation Climatology Project daily data are also used for comparison. It is found that the most convectively active ISCCP weather state (WS1), despite an occurrence frequency below 10%, is the most dominant state with regard to surface precipitation, producing both the largest mean precipitation rates when present and the largest percent contribution to the total precipitation of the tropics; yet, even this weather state appears to not precipitate about half the time, although this may be to some extent an artifact of detection and spatiotemporal matching limitations of the precipitation dataset. WS1 exhibits a modest annual cycle of the domain-average precipitation rate, but notable seasonal shifts in its geographic distribution. The precipitation rates of the other weather states appear to be stronger when occurring before or after WS1. The precipitation rates of the various weather states are different between ocean and land, with WS1 producing higher daytime rates on average over ocean than land, likely because of the larger size and more persistent nature of oceanic WS1s. The results of this study, in addition to advancing the understanding of tropical hydrology, can serve as higher-order diagnostics for evaluating the realism of tropical precipitation distributions in large-scale models.
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Roller, Christopher D., Jian-Hua Qian, Laurie Agel, Mathew Barlow, and Vincent Moron. "Winter Weather Regimes in the Northeast United States." Journal of Climate 29, no. 8 (April 12, 2016): 2963–80. http://dx.doi.org/10.1175/jcli-d-15-0274.1.

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Abstract The method of k-means cluster analysis is applied to U.S. wintertime daily 850-hPa winds across the Northeast. The resulting weather patterns are analyzed in terms of duration, station, gridded precipitation, storm tracks, and climate teleconnections. Five distinct weather patterns are identified. Weather type (WT) 1 is characterized by a ridge over the western Atlantic and positive precipitation anomalies as far north as the Great Lakes; WT2, by a trough along the eastern United States and positive precipitation anomalies into southern New England; WT3, by a trough over the western Atlantic and negative precipitation anomalies along much of the U.S. East Coast; WT4, by a trough east of Newfoundland and negative precipitation anomalies along parts of the U.S. East Coast; and WT5, by a broad, shallow trough over southeastern Canada and negative precipitation anomalies over the entire U.S. East Coast. WT5 and WT1 are the most persistent, while WT2 typically progresses quickly to WT3 and then to WT4. Based on mean station precipitation in the northeastern United States, most precipitation occurs in WT2 and WT3, with the least in WT1 and WT4. Extreme precipitation occurs most frequently in WT2. Storm tracks show that WT2 and WT3 are associated with coastal storms, while WT2 is also associated with Great Lakes storms. Teleconnections are linked with a change in WT frequency by more than a factor of 2 in several cases: for the North Atlantic Oscillation (NAO) in WT1 and WT4 and for the Pacific–North American (PNA) pattern in WT1 and WT3.
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Dissertations / Theses on the topic "Weather states"

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Levin, Noah. "The Impact of Weather Forecasts on Day-Ahead Power Prices." Scholarship @ Claremont, 2011. http://scholarship.claremont.edu/cmc_theses/210.

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1. Introduction Power industry deregulation and electricity market restructuring, which began in Chile in the 1980s and then spread to Norway, New Zealand and the UK, were introduced in the United States with the passage of the Energy Policy Act (EPA) of 1992 (Jameson, 1997). The EPA and subsequent Federal Energy Regulatory Commission (FERC) Orders led to the restructuring of vertically integrated electric utilities, the establishment of Independent System Operators (ISO) and Regional Transmission Organizations (RTO) and the development of competitive wholesale power markets. Deregulation also led to the creation of various electricity contract–based financial derivative products. In 1996, the New York Mercantile Exchange (NYMEX) created the US’s first electricity futures, the Palo Verde and California/Oregon Border contracts, which were traded for physical delivery (Warwick, 2002). While these products were eventually delisted in 2002, other exchange-traded and OTC contracts, for both physical and financial settlement, have been introduced on numerous exchanges, including the Intercontinental Exchange (ICE), Chicago Mercantile Exchange (CME) and markets operated by ISOs and RTOs. From the start, deregulation of the electricity industry has been a contentious and controversial subject, its economic, political and social ramifications hotly debated in the US and abroad. The debate continues, and as of September 2010, fifteen states and the District of Columbia have deregulated electricity markets, seven have suspended restructuring activities and twenty-eight have no deregulatory legislation or restructuring activities to speak of (FERC, 2010).
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Darnell, Karen M. "Analysis of weather forecast impacts on United States Air Force combat operations." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Mar%5FDarnell.pdf.

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Thesis (M.S. in Meteorology)--Naval Postgraduate School, March 2006.
Thesis Advisor(s): Tom Murphree, David Smarsh. "March 2006." Includes bibliographical references (p. 97-99). Also available online.
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Sweeny, Shannon R. "Impact of ENSO on weather conditions at continental United States military bases /." access online version, 1996. http://handle.dtic.mil/100.2/ADA319128.

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Forsee, William Joel. "Implementation of a Hybrid Weather Generator and Creating Sets of Synthetic Weather Series Consistent with Seasonal Climate Forecasts in the Southeastern United States." Scholarly Repository, 2008. http://scholarlyrepository.miami.edu/oa_theses/215.

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Stochastic weather generators create multiple series of synthetic daily weather (precipitation, maximum temperature, etc.), and ideally these series will have statistical properties similar to those of the input historical data. The synthetic output has many applications and for example, can be used in sectors such as agriculture and hydrology. This work used a ?hybrid? weather generator which consists of a parametric Markov chain for generating precipitation occurrence and a nonparametric k-nearest neighbor method for generating values of maximum temperature, minimum temperature, and precipitation. The hybrid weather generator was implemented and validated for use at 11 different locations in the Southeastern United States. A total of 36 graphic diagnostics were used to assess the model?s performance. These diagnostics revealed that the weather generator successfully created synthetic series with most statistical properties of the historical data including extreme wet and dry spell lengths and days of first and last freeze. Climate forecasts are typically provided for seasons or months. Alternatively, process models used for risk assessment often operate at daily time scales. If climate forecasts were incorporated into the daily weather input for process models, stakeholders could then use these models to assess possible impacts on their sector of interest due to anticipated changes in climate conditions. In this work, an ?ad hoc? resampling approach was developed to create sets of daily synthetic weather series consistent with seasonal climate forecasts in the Southeastern United States. In this approach, the output of the hybrid weather generator was resampled based on forecasts in two different formats: the commonly used tercile format and a probability distribution function. This resampling approach successfully created sets of synthetic series which reflected different forecast scenarios (i.e. wetter or drier conditions). Distributions of quarterly total precipitation from the resampled synthetic series were found to be shifted with respect to the corresponding historical distributions, and in some cases, the occurrence and intensity statistics of precipitation in the new weather series had changed with respect to the historical values.
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Spencer, Jeremy M. "The Geography of Hypothermia in the United States: An Analysis of Morbidity, Mortality, Thresholds, and Messaging." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1432655741.

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Coleman, Jill Susan Multon. "Atmospheric circulation types associated with cause-specific daily mortality in the central United States." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1123181126.

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Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xvi, 264 p.; also includes graphics. Includes bibliographical references (p. 257-264). Available online via OhioLINK's ETD Center
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Bloomer, Bryan Jaye. "Air pollution response to changing weather and power plant emissions in the eastern United States." College Park, Md. : University of Maryland, 2008. http://hdl.handle.net/1903/8852.

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Thesis (Ph. D.)--University of Maryland, College Park, 2008.
Thesis research directed by: Depts. of Atmospheric and Oceanic Science, and Chemistry and Biochemistry. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Cantu, Ruben A. "The role of weather in Class A Naval aviation mishaps FY 90-98." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA391038.

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Thesis (M.S. in Meteorology and Physical Oceanography) Naval Postgraduate School, March 2001.
Thesis advisor(s): Wash, Carlyle H.; Murphree, Tom. "March 2001." Includes bibliographical references (p. 83-84). Also Available online.
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Pawar, Sohum(Sohum Parag). "Resilient decarbonization for the United States : lessons for electric systems from a decade of extreme weather." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127175.

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Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 159-171).
The past decade has seen an unprecedented surge of climate change-driven extreme weather events that have wrought over $800 billion in damage and taken more than 5,200 lives across the United States -- a trend that appears poised to intensify. At the same time, the need for a large-scale effort to decarbonize the U.S. electric power system has become clear, along with the growing climate risks and impacts that any such effort will face. This thesis argues that the principles of resilience can play a valuable role by enabling the decarbonization of the U.S. electric system, in the face of the escalating risks and impacts of climate-driven extreme weather. By emphasizing targeted hardening, proactive planning, graceful failure, and effective recoveries in the design, operation, and oversight of electric systems in the United States, we can both protect against growing climate risks and catalyze decarbonization efforts --
an integrated process we call resilient decarbonization. This work seeks to inform present and future resilient decarbonization efforts by examining the lessons of the past decade of extreme weather, and its impact on electric systems in the United States. To do so, we consider three cases: Hurricane Maria, which struck Puerto Rico in 2017, causing the world's second-largest blackout; the 2017-2019 Northern California wildfire seasons, which sent the nation's largest investor-owned-utility into bankruptcy and remain the most devastating on record; and Superstorm Sandy, which served as a wakeup call for the New York/New Jersey area when it made a sudden left turn towards the region in 2012. We find that resilient decarbonization, while a challenging process to set into motion, does in fact meet its dual mission of protecting electric systems against growing climate risks, while enabling their decarbonization.
We also examine the ways in which electric system institutions take climate risks into account, the strengths and weaknesses of resilience-based measures for electric systems, and overarching questions about the role of electricity and electric utilities in American society today.
by .Sohum Pawar
S.M. in Technology and Policy
S.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society
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Tully, Erin. "Climate and Crime: Examining the Relationship Between Extreme Weather Events and Crime Rates in the United States." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/cmc_theses/1924.

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This study attempts to determine whether there is a relationship between extreme weather events and crime rates. Due to the increasing effects of climate change, it is critical we understand the societal effects of extreme weather. Here, a panel data fixed effects regression was used to analyze state and year level data. It was hypothesized that there would be a relationship between crime and extreme events, but the results did not show a statistically significant relationship. Further research with increased geographic and temporal controls is encouraged.
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Books on the topic "Weather states"

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United States Departmet of the Air Force. Surface weather observations: Weather. [Washington, D.C.?]: Secretary of the Air Force, 1996.

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Weather radio. Lake Geneva, Wis: Tiare Publications, 1992.

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The golden weather. Baton Rouge: Louisiana State University Press, 1995.

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Woodmencey, Jim. Weather in the Southwest. Tucson, Ariz: Southwest Parks and Monuments Association, 2001.

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United States. General Accounting Office. Accounting and Information Management Division. Weather service modernization questions. Washington, D.C: The Office, 1995.

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Division, United States General Accounting Office Accounting and Information Management. Weather service modernization staffing. Washington, D.C: The Office, 1995.

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Haines, Donald A. Fire-weather stations in northeastern United States. [St. Paul, Minn.]: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station, 1988.

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Haines, Donald A. Fire-weather stations in northeastern United States. [St. Paul, Minn.?]: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station, 1988.

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Haines, Donald A. Fire-weather stations in northeastern United States. [St. Paul, Minn.]: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station, 1988.

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Haines, Donald A. Fire-weather stations in northeastern United States. [St. Paul, Minn.?]: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station, 1988.

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Book chapters on the topic "Weather states"

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Changnon, Stanley A., E. Ray Fosse, and Eugene L. Lecomte. "Interactions Between the Atmospheric Sciences and Insurers in the United States." In Weather and Climate Extremes, 51–67. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9265-9_7.

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Rao, P. Krishna, Susan J. Holmes, Ralph K. Anderson, Jay S. Winston, and Paul E. Lehr. "The United States Research Satellites." In Weather Satellites: Systems, Data, and Environmental Applications, 95–101. Boston, MA: American Meteorological Society, 1990. http://dx.doi.org/10.1007/978-1-944970-16-1_10.

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Skinner, Brian D., David Changnon, Michael B. Richman, and Peter J. Lamb. "Damaging Weather Conditions in the United States: A Selection of Data Quality and Monitoring Issues." In Weather and Climate Extremes, 69–87. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9265-9_8.

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Steenburgh, W. James, Kelly T. Redmond, Kenneth E. Kunkel, Nolan Doesken, Robert R. Gillies, John D. Horel, Martin P. Hoerling, Thomas H. Painter, and Roy Rasmussen. "Present Weather and Climate: Average Conditions." In Assessment of Climate Change in the Southwest United States, 56–73. Washington, DC: Island Press/Center for Resource Economics, 2013. http://dx.doi.org/10.5822/978-1-61091-484-0_4.

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Hoerling, Martin P., Michael Dettinger, Klaus Wolter, Jeff Lukas, Jon Eischeid, Rama Nemani, Brant Liebmann, Kenneth E. Kunkel, and Arun Kumar. "Present Weather and Climate: Evolving Conditions." In Assessment of Climate Change in the Southwest United States, 74–100. Washington, DC: Island Press/Center for Resource Economics, 2013. http://dx.doi.org/10.5822/978-1-61091-484-0_5.

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Rao, P. Krishna, Susan J. Holmes, Ralph K. Anderson, Jay S. Winston, and Paul E. Lehr. "The United States Operational Polar and Geostationary Satellites." In Weather Satellites: Systems, Data, and Environmental Applications, 51–59. Boston, MA: American Meteorological Society, 1990. http://dx.doi.org/10.1007/978-1-944970-16-1_5.

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Swingle, Donald M. "Weather Radar in the United States Army’s Fort Monmouth Laboratories." In Radar in Meteorology, 7–15. Boston, MA: American Meteorological Society, 1990. http://dx.doi.org/10.1007/978-1-935704-15-7_2.

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Keeney, Harold ‘Jim’, Steve Buan, and Laura Diamond. "Multi-Hazard Early Warning System of the United States National Weather Service." In Institutional Partnerships in Multi-Hazard Early Warning Systems, 115–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25373-7_6.

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Motha, Raymond P. "The Impact of Extreme Weather Events on Agriculture in the United States." In Challenges and Opportunities in Agrometeorology, 397–407. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19360-6_30.

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Murphy, Allan H., and Barbara G. Brown. "A Comparative Evaluation of Objective and Subjective Weather Forecasts in the United States." In Behavioral Decision Making, 329–59. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2391-4_15.

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Conference papers on the topic "Weather states"

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Toffoli, Alessandro, Jean Michel Lefe`vre, Patrick Josse, and Jaak Monbaliu. "Investigation of Unexpected Sea-States." In ASME 2004 23rd International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2004. http://dx.doi.org/10.1115/omae2004-51181.

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It is assumed that dangerous and unexpected sea-states may occur if the sea conditions are fairly rough. It is therefore of concern to meteo centers to include sea-state related parameters in marine weather forecast when they exceed a certain threshold. To select appropriate parameters that can point at dangerous wave events, the sea-state at the time and location of shipping accidents reported as being due to bad weather by the Lloyd’s Marine Information Service (LMIS) were extracted from the ECMWF ERA-40 archive. The analysis of these wave parameters reveals the occurrence of apparently rather low sea-states (e.g. Hm0 &lt; 4 m). To test the findings against the related oceanographic features, wave climatology was computed. The present study aims at finding a possible correlation between wave climate and shipping incidents to identify warning criteria.
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Hinkelman, Laura M., Nevin Schaeffer, and Thomas P. Ackerman. "Solar resource, variability, and weather across the northwestern United States." In 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC). IEEE, 2016. http://dx.doi.org/10.1109/pvsc.2016.7749754.

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LADWIG, DAVID. "Weather hazards training for United States Air Force (USAF) flight operations." In 25th AIAA Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-333.

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Ramee, Coline, Andrew Speirs, Alexia P. Payan, and Dimitri Mavris. "Analysis of Weather-Related Helicopter Accidents and Incidents in the United States." In AIAA AVIATION 2021 FORUM. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2021. http://dx.doi.org/10.2514/6.2021-2954.

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Hagen, O̸istein, and Gunnar Solland. "Extreme Weather Warning Criteria." In ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-80040.

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The paper addresses determination of the weather criteria that should apply for platforms that are assumed to be unmanned during storms. The methodology ensures that the safety of personnel on these platforms is at least as good as for personnel on platforms that satisfy current structural requirements for manned platforms. A probability based procedure is defined to achieve this goal. In this paper the requirements in the NORSOK standards are used as the reference standard for the structural reliability. The forecasted environmental conditions that require unmanning are determined by a stepwise procedure: First, adopting the principles of the structural code, we determine the maximum environmental action (described by crest elevation Clim) the structure can resist. If Clim is lower than the crest corresponding to the requirements for manned structures, unmanning criteria are established. By integration over all sea states below the threshold significant wave height Hs,thr, the required Hs,thr is determined such that the probability that the annual maximum crest exceeds Clim, complies with the acceptance criterion. The forecasted environmental conditions at which shut-down and unmanning shall be completed are for Hs ≥ Hs,thr. The target probability for the governing failure mode is distributed between the directional sectors such that the frequency of unmanning the platform is minimized. Because forecasted wave directions are uncertain, the decision process is made more robust by a smoothing technique that retains the exceedance probabilities for the directional sectors.
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Dutta, Amit, and V. Chandrasekar. "Detection, Analysis and Mitigation of Sea Clutter in Polarimetric Weather Radar." In 2019 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM). IEEE, 2019. http://dx.doi.org/10.23919/usnc-ursi-nrsm.2019.8712871.

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Bloom, Hal J. "Next generation Geostationary Operational Environmental Satellite: GOES-R, the United States' advanced weather sentinel." In SPIE Optical Engineering + Applications, edited by Philip E. Ardanuy and Jeffery J. Puschell. SPIE, 2009. http://dx.doi.org/10.1117/12.828948.

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Palo, Scott E., David Gerhardt, Xinlin Li, Lauren Blum, Quintin Schiller, and Rick Kohnert. "One year of on-orbit performance of the Colorado Student Space Weather Experiment (CSSWE)." In 2014 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM). IEEE, 2014. http://dx.doi.org/10.1109/usnc-ursi-nrsm.2014.6928087.

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Cucurull, Lidia. "Use of GPS radio occultation observations to improve numerical weather prediction forecast skill at NOAA." In 2014 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM). IEEE, 2014. http://dx.doi.org/10.1109/usnc-ursi-nrsm.2014.6928067.

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Dutta, Amit, V. Chandrasekar, and Evan Ruzanski. "A signal sub-space based approach for mitigating wind turbine clutter in fast scanning weather radar." In 2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM). IEEE, 2021. http://dx.doi.org/10.23919/usnc-ursinrsm51531.2021.9336489.

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Reports on the topic "Weather states"

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Haines, Donald A., and John S. Frost. Fire-Weather Stations in the Northeastern United States. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station, 1988. http://dx.doi.org/10.2737/nc-rn-346.

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2

Mullins, Jamie, and Prashant Bharadwaj. Weather, Climate, and Migration in the United States. Cambridge, MA: National Bureau of Economic Research, March 2021. http://dx.doi.org/10.3386/w28614.

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3

Steensma, David K. Defense Weather Program: Meteorological and Oceanographic Support from Continental United States-Based Support Centers. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada399293.

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4

Vogt, James T., Kamal J. K. Gandhi, Don C. Bragg, Rabiu Olatinwo, and Kier D. Klepzig. Interactions Between Weather-Related Disturbance and Forest Insects and Diseases in the Southern United States. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, September 2020. http://dx.doi.org/10.2737/srs-gtr-255.

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5

Reyes, Julian, Emile Elias, Andrew Eischens, and Mark Shilts. Managing your risk: Weather and climate impacts on crop insurance. Fact sheet using national-scale data. United States Department of Agriculture, April 2018. http://dx.doi.org/10.32747/2018.7201761.ch.

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6

Bjorkman, Thomas, Michel Cavigelli, Dan Dostie, Joshua Faulkner, Lynn Knight, Steven Mirsky, and Brandon Smith. Cover Cropping to Improve Climate Resilience. USDA Northeast Climate Hub, February 2017. http://dx.doi.org/10.32747/2017.6956539.ch.

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Heavy rains are becoming more frequent across the Northeastern United States and increasing soil erosion and nutrient runoff problems. Wetter weather in the spring and fall is reducing the number of days that fields can be worked.
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7

Kalugin, G., L. Trichtchenko, K. Boudjemline, J. Armitage, and D. Waller. Space weather events with ground-based muon observations (state-of-the-art). Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2013. http://dx.doi.org/10.4095/292231.

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8

McNulty, Steven, Sarah Wiener, Emrys Treasure, Jennifer Moore Myers, Hamid Farahani, Lisa Fouladbash, David Marshall, and Rachel F. Steele. Southeast Regional Climate Hub Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies. United States. Department of Agriculture, January 2015. http://dx.doi.org/10.32747/2015.7279978.ch.

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Climate-related variability in rainfall, temperature, and extreme weather (e.g., drought, flood, unseasonal frost) pose significant challenges to working land (i.e., range, forest, and agricultural) managers across the southeastern United States. This document outlines the type of risks that southeastern agriculture and forestry currently face and, in some cases, options to address these risks. Finally, this document looks forward to providing direction on the priority needs of Southeast working land managers and an outline of how the USDA Southeast Climate Hub will address those needs.
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Manoharan, P. K., K. Mahalakshmi, A. Johri, B. V. Jackson, D. Ravikumar, K. Kalyanasundaram, S. P. Subramanian, and A. K. Mittal. Current State of Reduced Solar Activity: Intense Space Weather Events in the Inner Heliosphere. Balkan, Black sea and Caspian sea Regional Network for Space Weather Studies, December 2018. http://dx.doi.org/10.31401/sungeo.2018.02.03.

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Wiener, Sarah, Gabrielle Roesch-McNally, and Rachel Schattman. National Survey of USDA Field Staff on Climate and Weather. United States Department of Agriculture Climate Hubs, April 2018. http://dx.doi.org/10.32747/2018.6938607.ch.

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In November/December of 2016, a survey collaboratively designed by the USDA Climate Hubs, FSA, and the University of Vermont was administered to capture FSA field staffs' beliefs and attitudes related to climate change and potential impacts, as well as their perceptions about the risk that weather variability poses for U.S. farmers.
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