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This page includes the documents that were newly added to the repository within the last 30 days.

1 - 20 of 382 Results

Long-term vertical-land-motion investigation with space and terrestrial geodetic techniques near San Leon, Texas, USA

CITE Title : Long-term vertical-land-motion investigation with space and terrestrial geodetic techniques near San Leon, Texas, USA Personal Author(s) : Qiao, Xiaojun;Chu, Tianxing;Tissot, Philippe;Holland, Seneca; Published Date : 2023 Source : International Journal of Applied Earth Observation and Geoinformation, 125, 103580 DOI : https://doi.org/10.1016/j.jag.2023.103580 Journal Title : International Journal of Applied Earth Observation and Geoinformation Qiao, Xiaojun et al. (2023). Long-term vertical-land-motion investigation with space and terrestrial geodetic techniques near San Leon, Texas, USA. 125https://doi.org/10.1016/j.jag.2023.103580 Qiao, Xiaojun et al. "Long-term vertical-land-motion investigation with space and terrestrial geodetic techniques near San Leon, Texas, USA" 125 (2023), https://doi.org/10.1016/j.jag.2023.103580 Qiao, Xiaojun et al. "Long-term vertical-land-motion investigation with space and terrestrial geodetic techniques near San Leon, Texas, USA" vol. 125, 2023, https://doi.org/10.1016/j.jag.2023.103580 Export RIS Citation Information.

[PDF - 6.09 MB]

Personal Author:

Qiao, Xiaojun

;

Chu, Tianxing

...

2023 | International Journal of Applied Earth Observation and Geoinformation, 125, 103580

Description:

Monitoring vertical land motion (VLM) along coastlines, which influences the dynamics of sea level changes in relation to the land, is a challenging t...

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[PDF - 6.09 MB]

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[PDF - 6.09 MB]

11/22/2024
Watershed‐scale spatial prediction of agricultural land phosphorus mass balance and soil phosphorus metrics: A bottom‐up approach

CITE Title : Watershed‐scale spatial prediction of agricultural land phosphorus mass balance and soil phosphorus metrics: A bottom‐up approach Personal Author(s) : Bondeson, Finn A.;Faulkner, Joshua W.;Chin, Tiffany L.;Schroth, Andrew W.;Winchell, Michael;Michaud, Aubert;Niang, Mohamed;Roy, Eric D.; Published Date : 2024 Source : Journal of Environmental Quality (2024) DOI : https://doi.org/10.1002/jeq2.20633 Journal Title : Journal of Environmental Quality Bondeson, Finn A. et al. (2024). Watershed‐scale spatial prediction of agricultural land phosphorus mass balance and soil phosphorus metrics: A bottom‐up approach. https://doi.org/10.1002/jeq2.20633 Bondeson, Finn A. et al. "Watershed‐scale spatial prediction of agricultural land phosphorus mass balance and soil phosphorus metrics: A bottom‐up approach" (2024), https://doi.org/10.1002/jeq2.20633 Bondeson, Finn A. et al. "Watershed‐scale spatial prediction of agricultural land phosphorus mass balance and soil phosphorus metrics: A bottom‐up approach" , 2024, https://doi.org/10.1002/jeq2.20633 Export RIS Citation Information.

[PDF - 2.64 MB]

Personal Author:

Bondeson, Finn A. ;

Faulkner, Joshua W.
...

2024 | Journal of Environmental Quality (2024)

Description:

Analysis of nutrient balance at the watershed scale, including for phosphorus (P), is typically accomplished using aggregate input datasets, resulting...

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[PDF - 2.64 MB]

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[PDF - 2.64 MB]

11/22/2024
Adapting OGC's SensorThings API and data model to support data management and sharing for environmental sensors

CITE Title : Adapting OGC's SensorThings API and data model to support data management and sharing for environmental sensors Personal Author(s) : Horsburgh, Jeffery S.;Lippold, Kenneth;Slaugh, Daniel L.; Published Date : 2025 Source : Environmental Modelling & Software, 183, 106241 DOI : https://doi.org/10.1016/j.envsoft.2024.106241 Journal Title : Environmental Modelling & Software Horsburgh, Jeffery S. et al. (2025). Adapting OGC's SensorThings API and data model to support data management and sharing for environmental sensors. 183https://doi.org/10.1016/j.envsoft.2024.106241 Horsburgh, Jeffery S. and Lippold, Kenneth and Slaugh, Daniel L. "Adapting OGC's SensorThings API and data model to support data management and sharing for environmental sensors" 183 (2025), https://doi.org/10.1016/j.envsoft.2024.106241 Horsburgh, Jeffery S. et al. "Adapting OGC's SensorThings API and data model to support data management and sharing for environmental sensors" vol. 183, 2025, https://doi.org/10.1016/j.envsoft.2024.106241 Export RIS Citation Information.

[PDF - 6.27 MB]

Personal Author:

Horsburgh, Jeffery S.

;

Lippold, Kenneth

...

2025 | Environmental Modelling & Software, 183, 106241

Description:

Software is critical in managing environmental sensor data. The Open Geospatial Consortium (OGC) developed the “OGC SensorThings API” (STA) standa...

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[PDF - 6.27 MB]

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[PDF - 6.27 MB]

11/22/2024
When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling

CITE Title : When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling Personal Author(s) : Song, Yalan;Knoben, Wouter J. M.;Clark, Martyn P.;Feng, Dapeng;Lawson, Kathryn;Sawadekar, Kamlesh;Shen, Chaopeng; Published Date : 2024 Source : Hydrology and Earth System Sciences, 28(13), 3051-3077 DOI : https://doi.org/10.5194/hess-28-3051-2024 Journal Title : Hydrology and Earth System Sciences Song, Yalan et al. (2024). When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling. 28(13). https://doi.org/10.5194/hess-28-3051-2024 Song, Yalan et al. "When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling" 28, no. 13 (2024), https://doi.org/10.5194/hess-28-3051-2024 Song, Yalan et al. "When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling" vol. 28, no. 13, 2024, https://doi.org/10.5194/hess-28-3051-2024 Export RIS Citation Information.

[PDF - 8.37 MB]

Personal Author:

Song, Yalan ;

Knoben, Wouter J. M.

...

2024 | Hydrology and Earth System Sciences, 28(13), 3051-3077

Description:

Recent advances in differentiable modeling, a genre of physics-informed machine learning that trains neural networks (NNs) together with process-base...

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[PDF - 8.37 MB]

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[PDF - 8.37 MB]

11/22/2024
Unlocking effective ice-jam risk management: Insights from agent-based modeling and comparative analysis of social theories in Fort McMurray, Canada

CITE Title : Unlocking effective ice-jam risk management: Insights from agent-based modeling and comparative analysis of social theories in Fort McMurray, Canada Personal Author(s) : Ghoreishi, Mohammad;Lindenschmidt, Karl-Erich; Published Date : 2024 Source : Environmental Science & Policy, 157, 103731 DOI : https://doi.org/10.1016/j.envsci.2024.103731 Journal Title : Environmental Science & Policy Ghoreishi, Mohammad and Lindenschmidt, Karl-Erich (2024). Unlocking effective ice-jam risk management: Insights from agent-based modeling and comparative analysis of social theories in Fort McMurray, Canada. 157https://doi.org/10.1016/j.envsci.2024.103731 Ghoreishi, Mohammad and Lindenschmidt, Karl-Erich "Unlocking effective ice-jam risk management: Insights from agent-based modeling and comparative analysis of social theories in Fort McMurray, Canada" 157 (2024), https://doi.org/10.1016/j.envsci.2024.103731 Ghoreishi, Mohammad and Lindenschmidt, Karl-Erich "Unlocking effective ice-jam risk management: Insights from agent-based modeling and comparative analysis of social theories in Fort McMurray, Canada" vol. 157, 2024, https://doi.org/10.1016/j.envsci.2024.103731 Export RIS Citation Information.

[PDF - 3.06 MB]

Personal Author:

Ghoreishi, Mohammad ;

Lindenschmidt, Karl-Erich

2024 | Environmental Science & Policy, 157, 103731

Description:

Ice jams pose a major flood hazard in communities along northern rivers, resulting in high backwater levels and overbank flooding during ice-cover bre...

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[PDF - 3.06 MB]

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[PDF - 3.06 MB]

11/22/2024
Uncovering Historical Reservoir Operation Rules and Patterns: Insights From 452 Large Reservoirs in the Contiguous United States

CITE Title : Uncovering Historical Reservoir Operation Rules and Patterns: Insights From 452 Large Reservoirs in the Contiguous United States Personal Author(s) : Li, Donghui;Chen, Yanan;Lyu, Lingqi;Cai, Ximing; Published Date : 2024 Source : Water Resources Research, 60(8) DOI : https://doi.org/10.1029/2023WR036686 Journal Title : Water Resources Research Li, Donghui et al. (2024). Uncovering Historical Reservoir Operation Rules and Patterns: Insights From 452 Large Reservoirs in the Contiguous United States. 60(8). https://doi.org/10.1029/2023WR036686 Li, Donghui et al. "Uncovering Historical Reservoir Operation Rules and Patterns: Insights From 452 Large Reservoirs in the Contiguous United States" 60, no. 8 (2024), https://doi.org/10.1029/2023WR036686 Li, Donghui et al. "Uncovering Historical Reservoir Operation Rules and Patterns: Insights From 452 Large Reservoirs in the Contiguous United States" vol. 60, no. 8, 2024, https://doi.org/10.1029/2023WR036686 Export RIS Citation Information.

[PDF - 3.82 MB]

Personal Author:

Li, Donghui

;

Chen, Yanan
...

2024 | Water Resources Research, 60(8)

Description:

Reservoir operations are influenced by hydroclimatic variability, reservoir characteristics (i.e., size and purpose), policy regulation, as well as op...

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[PDF - 3.82 MB]

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[PDF - 3.82 MB]

11/22/2024
The Role of Forcing and Parameterization in Improving Snow Simulation in the Upper Colorado River Basin Using the National Water Model

CITE Title : The Role of Forcing and Parameterization in Improving Snow Simulation in the Upper Colorado River Basin Using the National Water Model Personal Author(s) : Gan, Yanjun;Zhang, Yu;Kongoli, Cezar;Pan, Ming; Published Date : 2024 Source : Water Resources Research, 60(8) DOI : https://doi.org/10.1029/2023WR035303 Journal Title : Water Resources Research Gan, Yanjun et al. (2024). The Role of Forcing and Parameterization in Improving Snow Simulation in the Upper Colorado River Basin Using the National Water Model. 60(8). https://doi.org/10.1029/2023WR035303 Gan, Yanjun et al. "The Role of Forcing and Parameterization in Improving Snow Simulation in the Upper Colorado River Basin Using the National Water Model" 60, no. 8 (2024), https://doi.org/10.1029/2023WR035303 Gan, Yanjun et al. "The Role of Forcing and Parameterization in Improving Snow Simulation in the Upper Colorado River Basin Using the National Water Model" vol. 60, no. 8, 2024, https://doi.org/10.1029/2023WR035303 Export RIS Citation Information.

[PDF - 2.83 MB]

Personal Author:

Gan, Yanjun

;

Zhang, Yu
...

2024 | Water Resources Research, 60(8)

Description:

This study assesses snow water equivalent (SWE) simulation uncertainty in the National Water Model (NWM) due to forcing and model parameterization, us...

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[PDF - 2.83 MB]

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[PDF - 2.83 MB]

11/22/2024
The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN one Global world (HELPING)

CITE Title : The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN one Global world (HELPING) Personal Author(s) : Arheimer, Berit;Cudennec, Christophe;Castellarin, Attilio;Grimaldi, Salvatore;Heal, Kate V.;Lupton, Claire;Sarkar, Archana;Tian, Fuqiang;Kileshye Onema, Jean-Marie;Archfield, Stacey;Blöschl, Günter;Chaffe, Pedro L. Borges;Croke, Barry F.W.;Dembélé, Moctar;Leong, Chris;Mijic, Ana;Mosquera, Giovanny M.;Nlend, Bertil;Olusola, Adeyemi O.;Polo, María J.;Sandells, Melody;Sheffield, Justin;van Hateren, Theresa C.;Shafiei, Mojtaba;Adla, Soham;Agarwal, Ankit;Aguilar, Cristina;Andersson, Jafet C.M.;Andraos, Cynthia;Andreu, Ana;Avanzi, Francesco;Bart, Ryan R.;Bartosova, Alena;Batelaan, Okke;Bennett, James C.;Bertola, Miriam;Bezak, Nejc;Boekee, Judith;Bogaard, Thom;Booij, Martijn J.;Brigode, Pierre;Buytaert, Wouter;Bziava, Konstantine;Castelli, Giulio;Castro, Cyndi V.;Ceperley, Natalie C.;Chidepudi, Sivarama K. R.;Chiew, Francis H. S.;Chun, Kwok P.;Dagnew, Addisu G.;Dekongmen, B.W.;Del Jesus, Manuel;Dezetter, Alain;Do Nascimento Batista, José A.;Doble, Rebecca C.;Dogulu, Nilay;Eekhout, Joris P.C.;Elçi, Alper;Elenius, Maria;Finger, David C.;Fiori, Aldo;Fischer, Svenja;Förster, Kristian;Ganora, Daniele;Gargouri Ellouze, Emna;Ghoreishi, Mohammad;Harvey, Natasha;Hrachowitz, Markus;Jampani, Mahesh;Jaramillo, Fernando;Jongen, Harro J.;Kareem, Kola Y.;Khan, Usman T.;Khatami, Sina;Kingston, Daniel G.;Koren, Gerbrand;Krause, Stefan;Kreibich, Heidi;Lerat, Julien;Liu, Junguo;Liu, Suxia;Madruga de Brito, Mariana;Mahé, Gil;Makurira, Hodson;Mazzoglio, Paola;Merheb, Mohammad;Mishra, Ashish;Mohammad, Hiba;Montanari, Alberto;Mujere, Never;Nabavi, Ehsan;Nkwasa, Albert;Orduna Alegria, Maria E.;Orieschnig, Christina;Ovcharuk, Valeriya;Palmate, Santosh S.;Pande, Saket;Pandey, Shachi;Papacharalampous, Georgia;Pechlivanidis, Ilias;Penny, Gopal;Pimentel, Rafael;Post, David A.;Prieto, Cristina;Razavi, Saman;Salazar-Galán, Sergio;Sankaran Namboothiri, Adarsh;Santos, Pedro P.;Savenije, Hubert;Shanono, Nura J.;Sharma, Ashutosh;Sivapalan, Murugesu;Smagulov, Zhanibek;Szolgay, Jan;Teng, Jin;Teuling, Adriaan J.;Teutschbein, Claudia;Tyralis, Hristos;Griensven, Ann van;van Schalkwyk, Andries J.;van Tiel, Marit;Viglione, Alberto;Volpi, Elena;Wagener, Thorsten;Wang, Xiaojun;Wang-Erlandsson, Lan;Wens, Marthe;Xia, Jun; Published Date : 2024 Source : Hydrological Sciences Journal, 69(11), 1417-1435 DOI : https://doi.org/10.1080/02626667.2024.2355202 Journal Title : Hydrological Sciences Journal Arheimer, Berit et al. (2024). The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN one Global world (HELPING). 69(11). https://doi.org/10.1080/02626667.2024.2355202 Arheimer, Berit et al. "The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN one Global world (HELPING)" 69, no. 11 (2024), https://doi.org/10.1080/02626667.2024.2355202 Arheimer, Berit et al. "The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN one Global world (HELPING)" vol. 69, no. 11, 2024, https://doi.org/10.1080/02626667.2024.2355202 Export RIS Citation Information.

[PDF - 9.17 MB]

Personal Author:

Arheimer, Berit

;

Cudennec, Christophe

...

2024 | Hydrological Sciences Journal, 69(11), 1417-1435

Description:

The new scientific decade (2023-2032) of the International Association of Hydrological Sciences (IAHS) aims at searching for sustainable solutions to ...

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[PDF - 9.17 MB]

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[PDF - 9.17 MB]

11/22/2024
Structural Constraints in Current Stomatal Conductance Models Preclude Accurate Prediction of Evapotranspiration

CITE Title : Structural Constraints in Current Stomatal Conductance Models Preclude Accurate Prediction of Evapotranspiration Personal Author(s) : Raghav, Pushpendra;Kumar, Mukesh;Liu, Yanlan; Published Date : 2024 Source : Water Resources Research, 60(8) DOI : https://doi.org/10.1029/2024WR037652 Journal Title : Water Resources Research Raghav, Pushpendra et al. (2024). Structural Constraints in Current Stomatal Conductance Models Preclude Accurate Prediction of Evapotranspiration. 60(8). https://doi.org/10.1029/2024WR037652 Raghav, Pushpendra and Kumar, Mukesh and Liu, Yanlan "Structural Constraints in Current Stomatal Conductance Models Preclude Accurate Prediction of Evapotranspiration" 60, no. 8 (2024), https://doi.org/10.1029/2024WR037652 Raghav, Pushpendra et al. "Structural Constraints in Current Stomatal Conductance Models Preclude Accurate Prediction of Evapotranspiration" vol. 60, no. 8, 2024, https://doi.org/10.1029/2024WR037652 Export RIS Citation Information.

[PDF - 2.18 MB]

Personal Author:

Raghav, Pushpendra

;

Kumar, Mukesh

...

2024 | Water Resources Research, 60(8)

Description:

Evapotranspiration (ET) plays a critical role in water and energy budgets at regional to global scales. ET is composed of direct evaporation (E) and p...

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[PDF - 2.18 MB]

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[PDF - 2.18 MB]

11/22/2024
Stakeholders' Perceptions of the 2023 Historic Floods in Vermont: Risk Communication, Crisis Response, Vulnerability and Lessons Learned

CITE Title : Stakeholders' Perceptions of the 2023 Historic Floods in Vermont: Risk Communication, Crisis Response, Vulnerability and Lessons Learned Personal Author(s) : Soares, Rodrigo;Koliba, Christopher;Merrill, Scott C.;Shrum, Trisha;Quainoo, Ruth;Myers, Molly;Ali-Khan, Masood;Balerna, Jessica A.;Spett, Emma; Published Date : 2024 Source : International Crisis and Risk Communication Conference Proceedings (2024) DOI : https://doi.org/10.69931/AYIR6279 Journal Title : International Crisis and Risk Communication Conference Proceedings Soares, Rodrigo et al. (2024). Stakeholders' Perceptions of the 2023 Historic Floods in Vermont: Risk Communication, Crisis Response, Vulnerability and Lessons Learned. https://doi.org/10.69931/AYIR6279 Soares, Rodrigo et al. "Stakeholders' Perceptions of the 2023 Historic Floods in Vermont: Risk Communication, Crisis Response, Vulnerability and Lessons Learned" (2024), https://doi.org/10.69931/AYIR6279 Soares, Rodrigo et al. "Stakeholders' Perceptions of the 2023 Historic Floods in Vermont: Risk Communication, Crisis Response, Vulnerability and Lessons Learned" , 2024, https://doi.org/10.69931/AYIR6279 Export RIS Citation Information.

[PDF - 237.86 KB]

Personal Author:

Soares, Rodrigo ;

Koliba, Christopher
...

2024 | International Crisis and Risk Communication Conference Proceedings (2024)

Description:

In July 2023, the state of Vermont experienced a powerful storm that rapidly unleashed as much as 9 inches of rain over the course of around 48 hours,...

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[PDF - 237.86 KB]

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[PDF - 237.86 KB]

11/22/2024
Spatiotemporal Variability of Channel Roughness and its Substantial Impacts on Flood Modeling Errors

CITE Title : Spatiotemporal Variability of Channel Roughness and its Substantial Impacts on Flood Modeling Errors Personal Author(s) : Al Mehedi, Md Abdullah;Saki, Shah;Patel, Krutikkumar;Shen, Chaopeng;Cohen, Sagy;Smith, Virginia;Rajib, Adnan;Anagnostou, Emmanouil;Bindas, Tadd;Lawson, Kathryn; Published Date : 2024 Source : Earth's Future, 12(7) DOI : https://doi.org/10.1029/2023EF004257 Journal Title : Earth's Future Al Mehedi, Md Abdullah et al. (2024). Spatiotemporal Variability of Channel Roughness and its Substantial Impacts on Flood Modeling Errors. 12(7). https://doi.org/10.1029/2023EF004257 Al Mehedi, Md Abdullah et al. "Spatiotemporal Variability of Channel Roughness and its Substantial Impacts on Flood Modeling Errors" 12, no. 7 (2024), https://doi.org/10.1029/2023EF004257 Al Mehedi, Md Abdullah et al. "Spatiotemporal Variability of Channel Roughness and its Substantial Impacts on Flood Modeling Errors" vol. 12, no. 7, 2024, https://doi.org/10.1029/2023EF004257 Export RIS Citation Information.

[PDF - 3.44 MB]

Personal Author:

Al Mehedi, Md Abdullah ;

Saki, Shah
...

2024 | Earth's Future, 12(7)

Description:

Manning's roughness coefficient, n, is used to describe channel roughness, and is a widely sought‐after key parameter for estimating and predicting ...

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[PDF - 3.44 MB]

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[PDF - 3.44 MB]

11/22/2024
Simulation-Based Experiments Reveal Differences in the Efficiency of Responses to Flood Warning Messages in Crisis

CITE Title : Simulation-Based Experiments Reveal Differences in the Efficiency of Responses to Flood Warning Messages in Crisis Personal Author(s) : Merrill, Scott C.;Koliba, Christopher;Soares, Rodrigo;Quainoo, Ruth;Clark, Eric;Shrum, Trisha;Ali-Khan, Masood;Myers, Molly;Zia, Asim; Published Date : 2024 Source : International Crisis and Risk Communication Conference Proceedings (2024) DOI : https://doi.org/10.69931/SMHU9552 Journal Title : International Crisis and Risk Communication Conference Proceedings Merrill, Scott C. et al. (2024). Simulation-Based Experiments Reveal Differences in the Efficiency of Responses to Flood Warning Messages in Crisis. https://doi.org/10.69931/SMHU9552 Merrill, Scott C. et al. "Simulation-Based Experiments Reveal Differences in the Efficiency of Responses to Flood Warning Messages in Crisis" (2024), https://doi.org/10.69931/SMHU9552 Merrill, Scott C. et al. "Simulation-Based Experiments Reveal Differences in the Efficiency of Responses to Flood Warning Messages in Crisis" , 2024, https://doi.org/10.69931/SMHU9552 Export RIS Citation Information.

[PDF - 1.69 MB]

Personal Author:

Merrill, Scott C. ;

Koliba, Christopher
...

2024 | International Crisis and Risk Communication Conference Proceedings (2024)

Description:

Evidence suggests that extreme flood events are increasing in frequency, severity, and expanding into regions previously thought to have low susceptib...

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[PDF - 1.69 MB]

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[PDF - 1.69 MB]

11/22/2024
Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models

CITE Title : Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models Personal Author(s) : Muñoz, David F.;Moftakhari, Hamed;Moradkhani, Hamid; Published Date : 2024 Source : Hydrology and Earth System Sciences, 28(11), 2531-2553 DOI : https://doi.org/10.5194/hess-28-2531-2024 Journal Title : Hydrology and Earth System Sciences Muñoz, David F. et al. (2024). Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models. 28(11). https://doi.org/10.5194/hess-28-2531-2024 Muñoz, David F. and Moftakhari, Hamed and Moradkhani, Hamid "Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models" 28, no. 11 (2024), https://doi.org/10.5194/hess-28-2531-2024 Muñoz, David F. et al. "Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models" vol. 28, no. 11, 2024, https://doi.org/10.5194/hess-28-2531-2024 Export RIS Citation Information.

[PDF - 7.90 MB]

Personal Author:

Muñoz, David F. ;

Moftakhari, Hamed

...

2024 | Hydrology and Earth System Sciences, 28(11), 2531-2553

Description:

Compound flood (CF) modeling enables the simulation of nonlinear water level dynamics in which concurrent or successive flood drivers synergize, prod...

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[PDF - 7.90 MB]

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[PDF - 7.90 MB]

11/22/2024
NOAA's National Water Model: Advancing operational hydrology through continental‐scale modeling

CITE Title : NOAA's National Water Model: Advancing operational hydrology through continental‐scale modeling Personal Author(s) : Cosgrove, Brian;Gochis, David;Flowers, Trey;Dugger, Aubrey;Ogden, Fred;Graziano, Tom;Clark, Ed;Cabell, Ryan;Casiday, Nick;Cui, Zhengtao;Eicher, Kelley;Fall, Greg;Feng, Xia;Fitzgerald, Katelyn;Frazier, Nels;George, Camaron;Gibbs, Rich;Hernandez, Liliana;Johnson, Donald;Jones, Ryan;Karsten, Logan;Kefelegn, Henok;Kitzmiller, David;Lee, Haksu;Liu, Yuqiong;Mashriqui, Hassan;Mattern, David;McCluskey, Alyssa;McCreight, James L.;McDaniel, Rachel;Midekisa, Alemayehu;Newman, Andy;Pan, Linlin;Pham, Cham;RafieeiNasab, Arezoo;Rasmussen, Roy;Read, Laura;Rezaeianzadeh, Mehdi;Salas, Fernando;Sang, Dina;Sampson, Kevin;Schneider, Tim;Shi, Qi;Sood, Gautam;Wood, Andy;Wu, Wanru;Yates, David;Yu, Wei;Zhang, Yongxin; Published Date : 2024 Source : JAWRA Journal of the American Water Resources Association, 60(2), 247-272 DOI : https://doi.org/10.1111/1752-1688.13184 Journal Title : JAWRA Journal of the American Water Resources Association Cosgrove, Brian et al. (2024). NOAA's National Water Model: Advancing operational hydrology through continental‐scale modeling. 60(2). https://doi.org/10.1111/1752-1688.13184 Cosgrove, Brian et al. "NOAA's National Water Model: Advancing operational hydrology through continental‐scale modeling" 60, no. 2 (2024), https://doi.org/10.1111/1752-1688.13184 Cosgrove, Brian et al. "NOAA's National Water Model: Advancing operational hydrology through continental‐scale modeling" vol. 60, no. 2, 2024, https://doi.org/10.1111/1752-1688.13184 Export RIS Citation Information.

[PDF - 27.75 MB]

Personal Author:

Cosgrove, Brian

;

Gochis, David
...

2024 | JAWRA Journal of the American Water Resources Association, 60(2), 247-272

Description:

The National Weather Service (NWS) Office of Water Prediction (OWP), in conjunction with the National Center for Atmospheric Research and the NWS Nati...

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[PDF - 27.75 MB]

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[PDF - 27.75 MB]

11/22/2024
Land-use change as a major driver for mid-20th-century flood intensity reduction in the Southeastern US

CITE Title : Land-use change as a major driver for mid-20th-century flood intensity reduction in the Southeastern US Personal Author(s) : Shen, Zhixiong;Conway, Nicholas;Bao, Shaowu;Muñoz, Samuel;Lang, Andreas; Published Date : 2024 Source : Environmental Research Letters, 19(8), 084054 DOI : https://doi.org/10.1088/1748-9326/ad6464 Journal Title : Environmental Research Letters Shen, Zhixiong et al. (2024). Land-use change as a major driver for mid-20th-century flood intensity reduction in the Southeastern US. 19(8). https://doi.org/10.1088/1748-9326/ad6464 Shen, Zhixiong et al. "Land-use change as a major driver for mid-20th-century flood intensity reduction in the Southeastern US" 19, no. 8 (2024), https://doi.org/10.1088/1748-9326/ad6464 Shen, Zhixiong et al. "Land-use change as a major driver for mid-20th-century flood intensity reduction in the Southeastern US" vol. 19, no. 8, 2024, https://doi.org/10.1088/1748-9326/ad6464 Export RIS Citation Information.

[PDF - 2.95 MB]

Personal Author:

Shen, Zhixiong

;

Conway, Nicholas
...

2024 | Environmental Research Letters, 19(8), 084054

Description:

Land-use changes affect hydrologic processes, but their impact on flooding remains obscure amid increasingly heavy precipitation. Instrumental records...

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[PDF - 2.95 MB]

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[PDF - 2.95 MB]

11/22/2024
Enhancing the Evaporation Method for Accurately Determining Unsaturated Soil Properties in the Wet Range

CITE Title : Enhancing the Evaporation Method for Accurately Determining Unsaturated Soil Properties in the Wet Range Personal Author(s) : Nam, Byunghee;Poudyal, Bhanu;Srinivasan, Venkatraman;Clement, T. Prabhakar; Published Date : 2024 Source : Journal of Hydrologic Engineering, 29(6) DOI : https://doi.org/10.1061/JHYEFF.HEENG-6215 Journal Title : Journal of Hydrologic Engineering Nam, Byunghee et al. (2024). Enhancing the Evaporation Method for Accurately Determining Unsaturated Soil Properties in the Wet Range. 29(6). https://doi.org/10.1061/JHYEFF.HEENG-6215 Nam, Byunghee et al. "Enhancing the Evaporation Method for Accurately Determining Unsaturated Soil Properties in the Wet Range" 29, no. 6 (2024), https://doi.org/10.1061/JHYEFF.HEENG-6215 Nam, Byunghee et al. "Enhancing the Evaporation Method for Accurately Determining Unsaturated Soil Properties in the Wet Range" vol. 29, no. 6, 2024, https://doi.org/10.1061/JHYEFF.HEENG-6215 Export RIS Citation Information.

[PDF - 1.45 MB]

Personal Author:

Nam, Byunghee ;

Poudyal, Bhanu
...

2024 | Journal of Hydrologic Engineering, 29(6)

Description:

The evaporation (EV) method is a widely used experimental approach to determine unsaturated hydraulic conductivity (UHC) and soil water retention (SWR...

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[PDF - 1.45 MB]

File Type:

[PDF - 1.45 MB]

11/22/2024
Improving runoff simulation in the Western United States with Noah-MP and variable infiltration capacity

CITE Title : Improving runoff simulation in the Western United States with Noah-MP and variable infiltration capacity Personal Author(s) : Su, Lu;Lettenmaier, Dennis P.;Pan, Ming;Bass, Benjamin; Published Date : 2024 Source : Hydrology and Earth System Sciences, 28(13), 3079-3097 DOI : https://doi.org/10.5194/hess-28-3079-2024 Journal Title : Hydrology and Earth System Sciences Su, Lu et al. (2024). Improving runoff simulation in the Western United States with Noah-MP and variable infiltration capacity. 28(13). https://doi.org/10.5194/hess-28-3079-2024 Su, Lu et al. "Improving runoff simulation in the Western United States with Noah-MP and variable infiltration capacity" 28, no. 13 (2024), https://doi.org/10.5194/hess-28-3079-2024 Su, Lu et al. "Improving runoff simulation in the Western United States with Noah-MP and variable infiltration capacity" vol. 28, no. 13, 2024, https://doi.org/10.5194/hess-28-3079-2024 Export RIS Citation Information.

[PDF - 5.63 MB]

Personal Author:

Su, Lu ;

Lettenmaier, Dennis P.
...

2024 | Hydrology and Earth System Sciences, 28(13), 3079-3097

Description:

Streamflow predictions are critical for managing water resources and for environmental conservation, especially in the water-short Western United Stat...

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[PDF - 5.63 MB]

File Type:

[PDF - 5.63 MB]

11/22/2024
HydroShare retrospective: Science and technology advances of a comprehensive data and model publication environment for the water science domain

CITE Title : HydroShare retrospective: Science and technology advances of a comprehensive data and model publication environment for the water science domain Personal Author(s) : Tarboton, David G.;Ames, Daniel P.;Horsburgh, Jeffery S.;Goodall, Jonathan L.;Couch, Alva;Hooper, Richard;Bales, Jerad;Wang, Shaowen;Castronova, Anthony;Seul, Martin;Idaszak, Ray;Li, Zhiyu;Dash, Pabitra;Black, Scott;Ramirez, Maurier;Yi, Hong;Calloway, Chris;Cogswell, Clara; Published Date : 2024 Source : Environmental Modelling & Software, 172, 105902 DOI : https://doi.org/10.1016/j.envsoft.2023.105902 Journal Title : Environmental Modelling & Software Tarboton, David G. et al. (2024). HydroShare retrospective: Science and technology advances of a comprehensive data and model publication environment for the water science domain. 172https://doi.org/10.1016/j.envsoft.2023.105902 Tarboton, David G. et al. "HydroShare retrospective: Science and technology advances of a comprehensive data and model publication environment for the water science domain" 172 (2024), https://doi.org/10.1016/j.envsoft.2023.105902 Tarboton, David G. et al. "HydroShare retrospective: Science and technology advances of a comprehensive data and model publication environment for the water science domain" vol. 172, 2024, https://doi.org/10.1016/j.envsoft.2023.105902 Export RIS Citation Information.

[PDF - 5.12 MB]

Personal Author:

Tarboton, David G. ;

Ames, Daniel P.

...

2024 | Environmental Modelling & Software, 172, 105902

Description:

Recent decades have witnessed a massive increase in the volume and quality of hydrologic data available to aid water resources decision makers, manage...

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[PDF - 5.12 MB]

File Type:

[PDF - 5.12 MB]

11/22/2024
Harnessing climate services to support community resilience planning: lessons learned from a community-engaged approach to assessing NOAA’s National Water Model

CITE Title : Harnessing climate services to support community resilience planning: lessons learned from a community-engaged approach to assessing NOAA’s National Water Model Personal Author(s) : Raub, Kristin B.;Laufer, Joshua;Flynn, Stephen E.;Daniels, Shemilore;Sivalingam, Trissha; Published Date : 2024 Source : Frontiers in Climate, 6 DOI : https://doi.org/10.3389/fclim.2024.1291165 Journal Title : Frontiers in Climate Raub, Kristin B. et al. (2024). Harnessing climate services to support community resilience planning: lessons learned from a community-engaged approach to assessing NOAA’s National Water Model. 6https://doi.org/10.3389/fclim.2024.1291165 Raub, Kristin B. et al. "Harnessing climate services to support community resilience planning: lessons learned from a community-engaged approach to assessing NOAA’s National Water Model" 6 (2024), https://doi.org/10.3389/fclim.2024.1291165 Raub, Kristin B. et al. "Harnessing climate services to support community resilience planning: lessons learned from a community-engaged approach to assessing NOAA’s National Water Model" vol. 6, 2024, https://doi.org/10.3389/fclim.2024.1291165 Export RIS Citation Information.

[PDF - 811.27 KB]

Personal Author:

Raub, Kristin B. ;

Laufer, Joshua
...

2024 | Frontiers in Climate, 6

Description:

IntroductionInland and coastal flooding and other water-based natural disasters are projected to increase in severity, frequency, and intensity as glo...

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[PDF - 811.27 KB]

File Type:

[PDF - 811.27 KB]

11/22/2024