| Records |
Author  |
Ali, M.M.; Bhat, G.S.; Long, D.G.; Bharadwaj, S.; Bourassa, M.A. |
| Title |
Estimating Wind Stress at the Ocean Surface From Scatterometer Observations |
Type |
$loc['typeJournal Article'] |
| Year |
2013 |
Publication |
IEEE Geoscience and Remote Sensing Letters |
Abbreviated Journal |
IEEE Geosci. Remote Sensing Lett. |
| Volume |
10 |
Issue |
5 |
Pages |
1129-1132 |
| Keywords |
Atmospheric stability; neutral stability; scatterometer; wind stress |
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| ISSN |
1545-598X |
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NASA, OVWST |
Approved |
$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
184 |
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| Author |
Ali, M.M.; Bhowmick, S.A.; Sharma, R.; Chaudhury, A.; Pezzullo, J.C.; Bourassa, M.A.; Ramana, I.V.; Niharika, K. |
| Title |
An Artificial Neural Network Model Function (AMF) for SARAL-Altika Winds |
Type |
$loc['typeJournal Article'] |
| Year |
2015 |
Publication |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Abbreviated Journal |
IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing |
| Volume |
8 |
Issue |
11 |
Pages |
5317-5323 |
| Keywords |
AltiKa; artificial neural network (ANN); geophysical data records; wind speed |
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| ISSN |
1939-1404 |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
118 |
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| Author |
Ali, M.M.; Bourassa, M.A.; Bhowmick, S.A.; Sharma, R.; Niharika, K. |
| Title |
Retrieval of Wind Stress at the Ocean Surface From AltiKa Measurements |
Type |
$loc['typeJournal Article'] |
| Year |
2016 |
Publication |
IEEE Geoscience and Remote Sensing Letters |
Abbreviated Journal |
IEEE Geosci. Remote Sensing Lett. |
| Volume |
13 |
Issue |
6 |
Pages |
821-825 |
| Keywords |
AltiKa; artificial neural networks (ANNs); wind stress |
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1545-598X |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
29 |
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Bentamy, A.; Piollé, J.F.; Grouazel, A.; Danielson, R.; Gulev, S.; Paul, F.; Azelmat, H.; Mathieu, P.P.; von Schuckmann, K.; Sathyendranath, S.; Evers-King, H.; Esau, I.; Johannessen, J.A.; Clayson, C.A.; Pinker, R.T.; Grodsky, S.A.; Bourassa, M.; Smith, S.R.; Haines, K.; Valdivieso, M.; Merchant, C.J.; Chapron, B.; Anderson, A.; Hollmann, R.; Josey, S.A. |
| Title |
Review and assessment of latent and sensible heat flux accuracy over the global oceans |
Type |
$loc['typeJournal Article'] |
| Year |
2017 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
| Volume |
201 |
Issue |
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Pages |
196-218 |
| Keywords |
Ocean Heat Flux; Latent heat flux; Sensible heat flux; Ocean heat content; Scatterometer; Surface wind; Specfic air humidity; OceanSites; Remotely sensed data |
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| ISSN |
0034-4257 |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
232 |
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| Author |
Bhardwaj, A.; Misra, V. |
| Title |
Monitoring the Indian Summer Monsoon Evolution at the Granularity of the Indian Meteorological Sub-divisions using Remotely Sensed Rainfall Products |
Type |
$loc['typeJournal Article'] |
| Year |
2019 |
Publication |
Remote Sensing |
Abbreviated Journal |
Remote Sensing |
| Volume |
11 |
Issue |
9 |
Pages |
1080 |
| Keywords |
Indian Summer Monsoon; GPM; TRMM satellite precipitation; meteorological sub-divisions |
| Abstract |
We make use of satellite-based rainfall products from the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) to objectively define local onset and demise of the Indian Summer Monsoon (ISM) at the spatial resolution of the meteorological subdivisions defined by the Indian Meteorological Department (IMD). These meteorological sub-divisions are the operational spatial scales for official forecasts issued by the IMD. Therefore, there is a direct practical utility to target these spatial scales for monitoring the evolution of the ISM. We find that the diagnosis of the climatological onset and demise dates and its variations from the TMPA product is quite similar to the rain gauge based analysis of the IMD, despite the differences in the duration of the two datasets. This study shows that the onset date variations of the ISM have a significant impact on the variations of the seasonal length and seasonal rainfall anomalies in many of the meteorological sub-divisions: for example, the early or later onset of the ISM is associated with longer and wetter or shorter and drier ISM seasons, respectively. It is shown that TMPA dataset (and therefore its follow up Global Precipitation Measurement (GPM) Integrated Multi-satellite Retrievals for GPM (IMERG)) could be usefully adopted for monitoring the onset of the ISM and therefore extend its use to anticipate the potential anomalies of the seasonal length and seasonal rainfall anomalies of the ISM in many of the Indian meteorological sub-divisions. View Full-Text |
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2072-4292 |
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$loc['no'] |
| Call Number |
COAPS @ user @ |
Serial |
1026 |
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| Author |
Bourassa, M. A. |
| Title |
Uncertainty in scatterometer derived vorticity |
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$loc['typeConference Article'] |
| Year |
2009 |
Publication |
2009 IEEE International Geoscience and Remote Sensing Symposium |
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III-805 - III-808 |
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OVWST |
Approved |
$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
673 |
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| Author |
Bourassa, MA; Weissman, DE |
| Title |
The development and application of a sea surface stress model function for the QuikSCAT and ADEOS-II SeaWinds scatterometers |
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$loc['typeConference Article'] |
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2003 |
Publication |
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) |
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Pages |
239-241 |
| Keywords |
component; surface stress; SeaWinds; scatterometer; validation |
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23rd International Geoscience and Remote Sensing Symposium (IGARSS 2003) |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
485 |
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Campagnolo, M.L.; Sun, Q.; Liu, Y.; Schaaf, C.; Wang, Z.; Román, M.O. |
| Title |
Estimating the effective spatial resolution of the operational BRDF, albedo, and nadir reflectance products from MODIS and VIIRS |
Type |
$loc['typeJournal Article'] |
| Year |
2016 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
| Volume |
175 |
Issue |
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Pages |
52-64 |
| Keywords |
BRDF Albedo NBAR MODIS VIIRS MCD43 VNP43 Gridded spatial resolution |
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0034-4257 |
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$loc['no'] |
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COAPS @ mfield @ |
Serial |
72 |
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Daneshgar Asl, S.; Dukhovskoy, D.S.; Bourassa, M.; MacDonald, I.R. |
| Title |
Hindcast modeling of oil slick persistence from natural seeps |
Type |
$loc['typeJournal Article'] |
| Year |
2017 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
| Volume |
189 |
Issue |
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Pages |
96-107 |
| Keywords |
Natural seep; Oil slick; Green Canyon 600; Synthetic aperture radar; Surface oil drift model |
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0034-4257 |
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$loc['no'] |
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COAPS @ mfield @ |
Serial |
24 |
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Gentemann, C.L.; Clayson, C.A.; Brown, S.; Lee, T.; Parfitt, R.; Farrar, J.T.; Bourassa, M.; Minnett, P.J.; Seo, H.; Gille, S.T.; Zlotnicki, V. |
| Title |
FluxSat: Measuring the Ocean-Atmosphere Turbulent Exchange of Heat and Moisture from Space |
Type |
$loc['typeJournal Article'] |
| Year |
2020 |
Publication |
Remote Sensing |
Abbreviated Journal |
Remote Sensing |
| Volume |
12 |
Issue |
11 |
Pages |
1796 |
| Keywords |
air-sea interactions; mesoscale; fluxes |
| Abstract |
Recent results using wind and sea surface temperature data from satellites and high-resolution coupled models suggest that mesoscale ocean-atmosphere interactions affect the locations and evolution of storms and seasonal precipitation over continental regions such as the western US and Europe. The processes responsible for this coupling are difficult to verify due to the paucity of accurate air-sea turbulent heat and moisture flux data. These fluxes are currently derived by combining satellite measurements that are not coincident and have differing and relatively low spatial resolutions, introducing sampling errors that are largest in regions with high spatial and temporal variability. Observational errors related to sensor design also contribute to increased uncertainty. Leveraging recent advances in sensor technology, we here describe a satellite mission concept, FluxSat, that aims to simultaneously measure all variables necessary for accurate estimation of ocean-atmosphere turbulent heat and moisture fluxes and capture the effect of oceanic mesoscale forcing. Sensor design is expected to reduce observational errors of the latent and sensible heat fluxes by almost 50%. FluxSat will improve the accuracy of the fluxes at spatial scales critical to understanding the coupled ocean-atmosphere boundary layer system, providing measurements needed to improve weather forecasts and climate model simulations. |
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2072-4292 |
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$loc['no'] |
| Call Number |
COAPS @ user @ |
Serial |
1111 |
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