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Books on the topic 'Wind speed at the sea surface'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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1

Halpern, D. An atlas of monthly mean distributions of SSMI surface wind speed, AVHRR/2 sea surface temperature, AMI surface wind velocity, TOPEX/POSEIDON sea surface height, and ECMWF surface wind velocity during 1993. National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1995.

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2

Halpern, David. An atlas of monthly mean distributions of SSMI surface wind speed, AVHRR/2 sea surface temperature, AMI surface wind velocity, TOPEX/POSEIDON sea surface height, and ECMWF surface wind velocity during 1993. National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1995.

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3

Halpern, D. An atlas of monthly mean distributions of SSMI surface wind speed, AVHRR/2 sea surface temperature, AMI surface wind velocity, TOPEX/POSEIDON sea surface height, and ECMWF surface wind velocity during 1993. National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1995.

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4

Halpern, D. An atlas of monthly mean distributions of SSMI surface wind speed, AVHRR/2 sea surface temperature, AMI surface wind velocity,and TOPEX/POSEIDON sea surface height during 1994. National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1997.

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5

David, Halpern, and Jet Propulsion Laboratory (U. S.), eds. An atlas of monthly mean distributions of SSMI surface wind speed, AVHRR sea surface temperature, AMI surface wind velocity, TOPEX/POSEIDON sea surface height during 1995. National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1998.

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6

United States. National Weather Service., ed. Guide to sea state, wind, and clouds. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1995.

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7

Halpern, D. An atlas of monthly mean distributions of SSMI surface wind speed, ARGOS ... wind components during 1990. National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1993.

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8

O'Muircheartaigh, I. G. Estimation of sea-surface windspeed from whitecap cover: Statistical approaches compared empirically and by simulation. Naval Postgraduate School, 1985.

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9

G, Rehm Ronald, National Institute of Standards and Technology (U.S.), and Building and Fire Research Laboratory (U.S.), eds. An efficient large eddy simulation algorithm for computational wind engineering: Application to surface pressure computations on a single building. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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10

G, Rehm Ronald, National Institute of Standards and Technology (U.S.), and Building and Fire Research Laboratory (U.S.), eds. An efficient large eddy simulation algorithm for computational wind engineering: Application to surface pressure computations on a single building. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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11

Crescenti, Gennaro H. A compilation of moored current meter data and wind recorder data from the Severe Environment Surface Mooring (SESMOOR) volume XLIII. Woods Hole Oceanographic Institution, 1991.

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12

R, French Jeffrey, Crawford Timothy L, and Air Resources Laboratory (U.S.), eds. Aircraft measurements in the coupled boundary layers air-sea transfer (CBLAST) light wind pilot field study. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Air Resources Laboratory, 2001.

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13

W, Gregg Watson, and Goddard Space Flight Center, eds. An assessment of SeaWiFS and MODIS ocean coverage. National Aeronautics and Space Administration, Goddard Space Flight Center, 1998.

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14

Jet Propulsion Laboratory (U.S.), ed. 1982-1983 El Niño atlas: Nimbus-7 microwave radiometer data. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1987.

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15

Jet Propulsion Laboratory (U.S.), ed. 1982-1983 El Niño atlas: Nimbus-7 microwave radiometer data. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1987.

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16

Jet Propulsion Laboratory (U.S.), ed. 1982-1983 El Niño atlas: Nimbus-7 microwave radiometer data. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1987.

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17

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., ed. Effects of upper-surface nacelles on longitudinal aerodynamic characteristics of high-wing transport configuration. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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18

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., ed. Effects of upper-surface nacelles on longitudinal aerodynamic characteristics of high-wing transport configuration. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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19

K, Moore Richard, and United States. National Aeronautics and Space Administration., eds. Correction of WindScat scatterometric measurements by combining with AMSR radiometric data. Radar Systems and Remote Sensing Laboratory, University of Kansas Center for Research, 1996.

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20

A, Smith Elizabeth. Contents of the NASA Ocean Data System archive. Edited by Lassanyi Ruby A and Jet Propulsion Laboratory (U.S.). National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1990.

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21

A, Smith Elizabeth. Contents of the NASA Ocean Data System archive. Edited by Lassanyi Ruby A and Jet Propulsion Laboratory (U.S.). National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1990.

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22

National Aeronautics and Space Administration (NASA) Staff. Atlas of Monthly Mean Distributions of Ssmi Surface Wind Speed, Avhrr/2 Sea Surface Temperature, Ami Surface Wind Velocity, Topex/Poseidon Sea Surface Height, and Ecmwf Surface Wind Velocity During 1993. Independently Published, 2018.

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23

National Aeronautics and Space Administration (NASA) Staff. Atlas of Monthly Mean Distributions of Geosat Sea Surface Height, Ssmi Surface Wind Speed, Avhrr/2 Sea Surface Temperature, and Ecmwf Surface Wind Components During 1988. Independently Published, 2018.

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24

An atlas of monthly mean distributions of GEOSAT sea surface height, SSMI surface wind Speed, AVHRR/2 sea surface temperature, and ECMWF surface wind components during 1988. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1991.

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25

National Aeronautics and Space Administration (NASA) Staff. Sensitivity of Global Sea-Air Co2 Flux to Gas Transfer Algorithms, Climatological Wind Speeds, and Variability of Sea Surface Temperature and Salinity. Independently Published, 2018.

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26

Modeling wind adjustment factor and midflame wind speed for Rothermel's surface fire spread model. United States Department of Agriculture/Forest Service, Rocky Mountain Research Station, 2012.

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27

An atlas of monthly mean distributions of SSMI surface wind speed ... wind components during 1991. National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1993.

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28

Servain, Jacques. Climatic atlas of the tropical Atlantic wind stress and sea surface temperature, 1985-1989. IFREMER, 1990.

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29

Experimental surface pressure data obtained on 65 ̊delta wing across Reynolds number and Mach number ranges. National Aeronautics and Space Administration, Langley Research Center, 1996.

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30

1982-1983 El Niño atlas: Nimbus-7 microwave radiometer data. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1987.

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31

Christensen, Ole Bøssing, and Erik Kjellström. Projections for Temperature, Precipitation, Wind, and Snow in the Baltic Sea Region until 2100. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.695.

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The ecosystems and the societies of the Baltic Sea region are quite sensitive to fluctuations in climate, and therefore it is expected that anthropogenic climate change will affect the region considerably. With numerical climate models, a large amount of projections of meteorological variables affected by anthropogenic climate change have been performed in the Baltic Sea region for periods reaching the end of this century.Existing global and regional climate model studies suggest that:• The future Baltic climate will get warmer, mostly so in winter. Changes increase with time or increasing emi
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32

Deay, Norah, and Pimp My Writing. Fishing Adventures: Deep Sea Fishing/7 X 10 Fishing Log/Location/Date/Companions/Water and Air Temps/Hours Fished/Wind Direction and Speed/Humidity/Moon and Tide Phase/ Species/Bait/Length/Weight/Time. Independently Published, 2019.

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33

Räisänen, Jouni. Future Climate Change in the Baltic Sea Region and Environmental Impacts. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.634.

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The warming of the global climate is expected to continue in the 21st century, although the magnitude of change depends on future anthropogenic greenhouse gas emissions and the sensitivity of climate to them. The regional characteristics and impacts of future climate change in the Baltic Sea countries have been explored since at least the 1990s. Later research has supported many findings from the early studies, but advances in understanding and improved modeling tools have made the picture gradually more comprehensive and more detailed. Nevertheless, many uncertainties still remain.In the Balt
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34

Yang, Kun. Observed Regional Climate Change in Tibet over the Last Decades. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.587.

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The Tibetan Plateau (TP) is subjected to strong interactions among the atmosphere, hydrosphere, cryosphere, and biosphere. The Plateau exerts huge thermal forcing on the mid-troposphere over the mid-latitude of the Northern Hemisphere during spring and summer. This region also contains the headwaters of major rivers in Asia and provides a large portion of the water resources used for economic activities in adjacent regions. Since the beginning of the 1980s, the TP has undergone evident climate changes, with overall surface air warming and moistening, solar dimming, and decrease in wind speed.
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35

Kraus, Eric B., and Joost A. Businger. Atmosphere-Ocean Interaction. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195066180.001.0001.

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With both the growing importance of integrating studies of air-sea interaction and the interest in the general problem of global warming, the appearance of the second edition of this popular text is especially welcome. Thoroughly updated and revised, the authors have retained the accessible, comprehensive expository style that distinguished the earlier edition. Topics include the state of matter near the interface, radiation, surface wind waves, turbulent transfer near the interface, the planetary boundary layer, atmospherically-forced perturbations in the oceans, and large-scale forcing by se
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36

Hameed, Saji N. The Indian Ocean Dipole. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.619.

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Discovered at the very end of the 20th century, the Indian Ocean Dipole (IOD) is a mode of natural climate variability that arises out of coupled ocean–atmosphere interaction in the Indian Ocean. It is associated with some of the largest changes of ocean–atmosphere state over the equatorial Indian Ocean on interannual time scales. IOD variability is prominent during the boreal summer and fall seasons, with its maximum intensity developing at the end of the boreal-fall season. Between the peaks of its negative and positive phases, IOD manifests a markedly zonal see-saw in anomalous sea surface
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