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How much runoff originates as snow in the western United States, and how will that change in the future?

CITE Title : How much runoff originates as snow in the western United States, and how will that change in the future? Personal Author(s) : Li, Dongyue;Wrzesien, Melissa L.;Durand, Michael;Adam, Jennifer;Lettenmaier, Dennis P.; Published Date : 2017 Source : Geophysical Research Letters, 44(12), 6163-6172 DOI : https://doi.org/10.1002/2017gl073551 Journal Title : Geophysical Research Letters Li, Dongyue et al. (2017). How much runoff originates as snow in the western United States, and how will that change in the future?. 44(12). https://doi.org/10.1002/2017gl073551 Li, Dongyue et al. "How much runoff originates as snow in the western United States, and how will that change in the future?" 44, no. 12 (2017), https://doi.org/10.1002/2017gl073551 Li, Dongyue et al. "How much runoff originates as snow in the western United States, and how will that change in the future?" vol. 44, no. 12, 2017, https://doi.org/10.1002/2017gl073551 Export RIS Citation Information.

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Li, Dongyue

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Wrzesien, Melissa L.

2017 | Geophysical Research Letters, 44(12), 6163-6172

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In the western United States, the seasonal phase of snow storage bridges between winter‐dominant precipitation and summer‐dominant water demand. T...
A Framework for Estimating Global River Discharge From the Surface Water and Ocean Topography Satellite Mission

CITE Title : A Framework for Estimating Global River Discharge From the Surface Water and Ocean Topography Satellite Mission Personal Author(s) : Durand, Michael;Gleason, Colin J.;Pavelsky, Tamlin M.;Prata de Moraes Frasson, Renato;Turmon, Michael;David, Cédric H.;Altenau, Elizabeth H.;Tebaldi, Nikki;Larnier, Kevin;Monnier, Jerome;Malaterre, Pierre Olivier;Oubanas, Hind;Allen, George H.;Astifan, Brian;Brinkerhoff, Craig;Bates, Paul D.;Bjerklie, David;Coss, Stephen;Dudley, Robert;Fenoglio, Luciana;Garambois, Pierre‐André;Getirana, Augusto;Lin, Peirong;Margulis, Steven A.;Matte, Pascal;Minear, J. Toby;Muhebwa, Aggrey;Pan, Ming;Peters, Daniel;Riggs, Ryan;Sikder, Md Safat;Simmons, Travis;Stuurman, Cassie;Taneja, Jay;Tarpanelli, Angelica;Schulze, Kerstin;Tourian, Mohammad J.;Wang, Jida; Published Date : 2023 Source : Water Resources Research, 59(4) DOI : https://doi.org/10.1029/2021wr031614 Journal Title : Water Resources Research Durand, Michael et al. (2023). A Framework for Estimating Global River Discharge From the Surface Water and Ocean Topography Satellite Mission. 59(4). https://doi.org/10.1029/2021wr031614 Durand, Michael et al. "A Framework for Estimating Global River Discharge From the Surface Water and Ocean Topography Satellite Mission" 59, no. 4 (2023), https://doi.org/10.1029/2021wr031614 Durand, Michael et al. "A Framework for Estimating Global River Discharge From the Surface Water and Ocean Topography Satellite Mission" vol. 59, no. 4, 2023, https://doi.org/10.1029/2021wr031614 Export RIS Citation Information.

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Durand, Michael

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Gleason, Colin J.

2023 | Water Resources Research, 59(4)

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The Surface Water and Ocean Topography (SWOT) mission will vastly expand measurements of global rivers, providing critical new data sets for both gage...
Transient ice loss in the Patagonia Icefields during the 2015–2016 El Niño event

CITE Title : Transient ice loss in the Patagonia Icefields during the 2015–2016 El Niño event Personal Author(s) : Gómez, Demián D.;Bevis, Michael G.;Smalley, Robert;Durand, Michael;Willis, Michael J.;Caccamise, Dana J.;Kendrick, Eric;Skvarca, Pedro;Sobrero, Franco S.;Parra, Héctor;Casassa, Gino; Published Date : 2022 Source : Scientific Reports, 12(1) DOI : https://doi.org/10.1038/s41598-022-13252-8 Journal Title : Scientific Reports Gómez, Demián D. et al. (2022). Transient ice loss in the Patagonia Icefields during the 2015–2016 El Niño event. 12(1). https://doi.org/10.1038/s41598-022-13252-8 Gómez, Demián D. et al. "Transient ice loss in the Patagonia Icefields during the 2015–2016 El Niño event" 12, no. 1 (2022), https://doi.org/10.1038/s41598-022-13252-8 Gómez, Demián D. et al. "Transient ice loss in the Patagonia Icefields during the 2015–2016 El Niño event" vol. 12, no. 1, 2022, https://doi.org/10.1038/s41598-022-13252-8 Export RIS Citation Information.

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Gómez, Demián D.

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Bevis, Michael G.

2022 | Scientific Reports, 12(1)

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The Patagonia Icefields (PIF) are the largest non-polar ice mass in the southern hemisphere. The icefields cover an area of approximately 16,500 km
Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing

CITE Title : Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing Personal Author(s) : Tsang, Leung;Durand, Michael;Derksen, Chris;Barros, Ana P.;Kang, Do-Hyuk;Lievens, Hans;Marshall, Hans-Peter;Zhu, Jiyue;Johnson, Joel;King, Joshua;Lemmetyinen, Juha;Sandells, Melody;Rutter, Nick;Siqueira, Paul;Nolin, Anne;Osmanoglu, Batu;Vuyovich, Carrie;Kim, Edward;Taylor, Drew;Merkouriadi, Ioanna;Brucker, Ludovic;Navari, Mahdi;Dumont, Marie;Kelly, Richard;Kim, Rhae Sung;Liao, Tien-Hao;Borah, Firoz;Xu, Xiaolan; Published Date : 2022 Source : The Cryosphere, 16(9), 3531-3573 DOI : https://doi.org/10.5194/tc-16-3531-2022 Journal Title : The Cryosphere Tsang, Leung et al. (2022). Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing. 16(9). https://doi.org/10.5194/tc-16-3531-2022 Tsang, Leung et al. "Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing" 16, no. 9 (2022), https://doi.org/10.5194/tc-16-3531-2022 Tsang, Leung et al. "Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing" vol. 16, no. 9, 2022, https://doi.org/10.5194/tc-16-3531-2022 Export RIS Citation Information.

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Tsang, Leung

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Durand, Michael

2022 | The Cryosphere, 16(9), 3531-3573

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Seasonal snow cover is the largest single component of the cryosphere in areal extent, covering an average of 46 × 106 km2 of Earth's surface (...
Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx'17

CITE Title : Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx'17 Personal Author(s) : Singh, Siddharth;Durand, Michael;Kim, Edward;Barros, Ana P.; Published Date : 2024 Source : The Cryosphere, 18(2), 747-773 DOI : https://doi.org/10.5194/tc-18-747-2024 Journal Title : The Cryosphere Singh, Siddharth et al. (2024). Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx'17. 18(2). https://doi.org/10.5194/tc-18-747-2024 Singh, Siddharth et al. "Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx'17" 18, no. 2 (2024), https://doi.org/10.5194/tc-18-747-2024 Singh, Siddharth et al. "Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx'17" vol. 18, no. 2, 2024, https://doi.org/10.5194/tc-18-747-2024 Export RIS Citation Information.

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Singh, Siddharth

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Durand, Michael

2024 | The Cryosphere, 18(2), 747-773

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A physical–statistical framework to estimate snow water equivalent (SWE) and snow depth from synthetic aperture radar (SAR) measurements is presente...
Seasonal Peak Snow Predictability Derived From Early‐Season Snow in North America

CITE Title : Seasonal Peak Snow Predictability Derived From Early‐Season Snow in North America Personal Author(s) : Lundquist, Jessica D.;Kim, Rhae Sung;Durand, Michael;Prugh, Laura R.; Published Date : 2023 Source : Geophysical Research Letters, 50(17) DOI : https://doi.org/10.1029/2023gl103802 Journal Title : Geophysical Research Letters Lundquist, Jessica D. et al. (2023). Seasonal Peak Snow Predictability Derived From Early‐Season Snow in North America. 50(17). https://doi.org/10.1029/2023gl103802 Lundquist, Jessica D. et al. "Seasonal Peak Snow Predictability Derived From Early‐Season Snow in North America" 50, no. 17 (2023), https://doi.org/10.1029/2023gl103802 Lundquist, Jessica D. et al. "Seasonal Peak Snow Predictability Derived From Early‐Season Snow in North America" vol. 50, no. 17, 2023, https://doi.org/10.1029/2023gl103802 Export RIS Citation Information.

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Lundquist, Jessica D.

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Kim, Rhae Sung

2023 | Geophysical Research Letters, 50(17)

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SNOwpack TELemetry observations and model simulations both demonstrate that the fractional contribution of October through December (early season) sno...
Automated River Reach Definition Strategies: Applications for the Surface Water and Ocean Topography Mission

CITE Title : Automated River Reach Definition Strategies: Applications for the Surface Water and Ocean Topography Mission Personal Author(s) : Frasson, Renato Prata de Moraes;Wei, Rui;Durand, Michael;Minear, J. Toby;Domeneghetti, Alessio;Schumann, Guy;Williams, Brent A.;Rodriguez, Ernesto;Picamilh, Christophe;Lion, Christine;Pavelsky, Tamlin;Garambois, Pierre‐André; Published Date : 2017 Source : Water Resources Research, 53(10), 8164-8186 DOI : https://doi.org/10.1002/2017wr020887 Journal Title : Water Resources Research Frasson, Renato Prata de Moraes et al. (2017). Automated River Reach Definition Strategies: Applications for the Surface Water and Ocean Topography Mission. 53(10). https://doi.org/10.1002/2017wr020887 Frasson, Renato Prata de Moraes et al. "Automated River Reach Definition Strategies: Applications for the Surface Water and Ocean Topography Mission" 53, no. 10 (2017), https://doi.org/10.1002/2017wr020887 Frasson, Renato Prata de Moraes et al. "Automated River Reach Definition Strategies: Applications for the Surface Water and Ocean Topography Mission" vol. 53, no. 10, 2017, https://doi.org/10.1002/2017wr020887 Export RIS Citation Information.

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Frasson, Renato Prata de Moraes

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Wei, Rui

2017 | Water Resources Research, 53(10), 8164-8186

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The upcoming Surface Water and Ocean Topography (SWOT) mission will measure water surface heights and widths for rivers wider than 100 m. At its nativ...
Microwave Radiometry at Frequencies From 500 to 1400 MHz: An Emerging Technology for Earth Observations

CITE Title : Microwave Radiometry at Frequencies From 500 to 1400 MHz: An Emerging Technology for Earth Observations Personal Author(s) : Johnson, Joel T.;Jezek, Kenneth C.;Macelloni, Giovanni;Brogioni, Marco;Tsang, Leung;Dinnat, Emmanuel P.;Walker, Jeffrey P.;Ye, Nan;Misra, Sidharth;Piepmeier, Jeffrey R.;Bindlish, Rajat;LeVine, David M.;OaNeill, Peggy E.;Kaleschke, Lars;Andrews, Mark J.;Yardim, Caglar;Aksoy, Mustafa;Durand, Michael;Chen, Chi-Chih;Demir, Oguz;Bringer, Alexandra;Miller, Julie Z.;Brown, Shannon T.;Kwok, Ron;Lee, Tong;Kerr, Yann;Entekhabi, Dara;Peng, Jinzheng;Colliander, Andreas;Chan, Steven;MacGregor, Joseph A.;Medley, Brooke;DeRoo, Roger;Drinkwater, Mark; Published Date : 2021 Source : IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 4894-4914 DOI : https://doi.org/10.1109/jstars.2021.3073286 Journal Title : IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Johnson, Joel T. et al. (2021). Microwave Radiometry at Frequencies From 500 to 1400 MHz: An Emerging Technology for Earth Observations. 14https://doi.org/10.1109/jstars.2021.3073286 Johnson, Joel T. et al. "Microwave Radiometry at Frequencies From 500 to 1400 MHz: An Emerging Technology for Earth Observations" 14 (2021), https://doi.org/10.1109/jstars.2021.3073286 Johnson, Joel T. et al. "Microwave Radiometry at Frequencies From 500 to 1400 MHz: An Emerging Technology for Earth Observations" vol. 14, 2021, https://doi.org/10.1109/jstars.2021.3073286 Export RIS Citation Information.

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Johnson, Joel T.

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Jezek, Kenneth C.

2021 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 4894-4914

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Microwave radiometry has provided valuable spaceborne observations of Earth's geophysical properties for decades. The recent SMOS, Aquarius, and SMAP ...