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Insights into Hydrometeorological Factors Constraining Flood Prediction Skill during the May and October 2015 Texas Hill Country Flood Events

CITE Title : Insights into Hydrometeorological Factors Constraining Flood Prediction Skill during the May and October 2015 Texas Hill Country Flood Events Personal Author(s) : Lin, Peirong;Hopper, Larry J.;Yang, Zong-Liang;Lenz, Mark;Zeitler, Jon W.; Published Date : 2018 Source : Journal of Hydrometeorology, 19(8), 1339-1361 DOI : https://doi.org/10.1175/jhm-d-18-0038.1 Journal Title : Journal of Hydrometeorology Lin, Peirong et al. (2018). Insights into Hydrometeorological Factors Constraining Flood Prediction Skill during the May and October 2015 Texas Hill Country Flood Events. 19(8). https://doi.org/10.1175/jhm-d-18-0038.1 Lin, Peirong et al. "Insights into Hydrometeorological Factors Constraining Flood Prediction Skill during the May and October 2015 Texas Hill Country Flood Events" 19, no. 8 (2018), https://doi.org/10.1175/jhm-d-18-0038.1 Lin, Peirong et al. "Insights into Hydrometeorological Factors Constraining Flood Prediction Skill during the May and October 2015 Texas Hill Country Flood Events" vol. 19, no. 8, 2018, https://doi.org/10.1175/jhm-d-18-0038.1 Export RIS Citation Information.

:

Lin, Peirong ;

Hopper, Larry J.

2018 | Journal of Hydrometeorology, 19(8), 1339-1361

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This study evaluates the May and October 2015 flood prediction skill of a physically based model resembling the U.S. National Water Model (NWM) over t...
Enhancing the community Noah-MP land model capabilities for Earth sciences and applications

CITE Title : Enhancing the community Noah-MP land model capabilities for Earth sciences and applications Personal Author(s) : He, Cenlin;Chen, Fei;Barlage, Michael;Yang, Zong-Liang;Wegiel, Jerry W.;Niu, Guo-Yue;Gochis, David;Mocko, David M.;Abolafia-Rosenzweig, Ronnie;Zhang, Zhe;Lin, Tzu-Shun;Valayamkunnath, Prasanth;Ek, Michael;Niyogi, Dev; Published Date : 2023 Source : Bulletin of the American Meteorological Society (2023) DOI : https://doi.org/10.1175/bams-d-23-0249.1 Journal Title : Bulletin of the American Meteorological Society He, Cenlin et al. (2023). Enhancing the community Noah-MP land model capabilities for Earth sciences and applications. https://doi.org/10.1175/bams-d-23-0249.1 He, Cenlin et al. "Enhancing the community Noah-MP land model capabilities for Earth sciences and applications" (2023), https://doi.org/10.1175/bams-d-23-0249.1 He, Cenlin et al. "Enhancing the community Noah-MP land model capabilities for Earth sciences and applications" , 2023, https://doi.org/10.1175/bams-d-23-0249.1 Export RIS Citation Information.

:

He, Cenlin ;

Chen, Fei

2023 | Bulletin of the American Meteorological Society (2023)

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Land surface plays an important role in the Earth system, modulating global and regional energy and water balances through interacting with the atmosp...
Prioritizing social vulnerability in urban heat mitigation

CITE Title : Prioritizing social vulnerability in urban heat mitigation Personal Author(s) : Fung, Kwun Yip;Yang, Zong-Liang;Martilli, Alberto;Krayenhoff, E Scott;Niyogi, Dev; Published Date : 2024 Source : PNAS Nexus, 3(9) DOI : https://doi.org/10.1093/pnasnexus/pgae360 Journal Title : PNAS Nexus Fung, Kwun Yip et al. (2024). Prioritizing social vulnerability in urban heat mitigation. 3(9). https://doi.org/10.1093/pnasnexus/pgae360 Fung, Kwun Yip et al. "Prioritizing social vulnerability in urban heat mitigation" 3, no. 9 (2024), https://doi.org/10.1093/pnasnexus/pgae360 Fung, Kwun Yip et al. "Prioritizing social vulnerability in urban heat mitigation" vol. 3, no. 9, 2024, https://doi.org/10.1093/pnasnexus/pgae360 Export RIS Citation Information.

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Fung, Kwun Yip

;

Yang, Zong-Liang

2024 | PNAS Nexus, 3(9)

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We utilized city-scale simulations to quantitatively compare the diverse urban overheating mitigation strategies, specifically tied to social vulnerab...
Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability

CITE Title : Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability Personal Author(s) : He, Cenlin;Valayamkunnath, Prasanth;Barlage, Michael;Chen, Fei;Gochis, David;Cabell, Ryan;Schneider, Tim;Rasmussen, Roy;Niu, Guo-Yue;Yang, Zong-Liang;Niyogi, Dev;Ek, Michael; Published Date : 2023 Source : Geoscientific Model Development, 16(17), 5131-5151 DOI : https://doi.org/10.5194/gmd-16-5131-2023 Journal Title : Geoscientific Model Development He, Cenlin et al. (2023). Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability. 16(17). https://doi.org/10.5194/gmd-16-5131-2023 He, Cenlin et al. "Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability" 16, no. 17 (2023), https://doi.org/10.5194/gmd-16-5131-2023 He, Cenlin et al. "Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability" vol. 16, no. 17, 2023, https://doi.org/10.5194/gmd-16-5131-2023 Export RIS Citation Information.

:

He, Cenlin

;

Valayamkunnath, Prasanth

2023 | Geoscientific Model Development, 16(17), 5131-5151

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The widely used open-source community Noah with multi-parameterization options (Noah-MP) land surface model (LSM) is designed for applications ranging...
The Impact of Noah-MP Physical Parameterizations on Modeling Water Availability during Droughts in the Texas-Gulf Region

CITE Title : The Impact of Noah-MP Physical Parameterizations on Modeling Water Availability during Droughts in the Texas-Gulf Region Personal Author(s) : Wu, Wen-Ying;Yang, Zong-Liang;Barlage, Michael; Published Date : 2021 Source : Journal of Hydrometeorology (2021) DOI : https://doi.org/10.1175/jhm-d-20-0189.1 Journal Title : Journal of Hydrometeorology Wu, Wen-Ying et al. (2021). The Impact of Noah-MP Physical Parameterizations on Modeling Water Availability during Droughts in the Texas-Gulf Region. https://doi.org/10.1175/jhm-d-20-0189.1 Wu, Wen-Ying and Yang, Zong-Liang and Barlage, Michael "The Impact of Noah-MP Physical Parameterizations on Modeling Water Availability during Droughts in the Texas-Gulf Region" (2021), https://doi.org/10.1175/jhm-d-20-0189.1 Wu, Wen-Ying et al. "The Impact of Noah-MP Physical Parameterizations on Modeling Water Availability during Droughts in the Texas-Gulf Region" , 2021, https://doi.org/10.1175/jhm-d-20-0189.1 Export RIS Citation Information.

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Wu, Wen-Ying ;

Yang, Zong-Liang

2021 | Journal of Hydrometeorology (2021)

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Texas is subject to severe droughts, including the record-breaking one in 2011. To investigate the critical hydrometeorological processes during droug...
DownScaleBench for developing and applying a deep learning based urban climate downscaling- first results for high-resolution urban precipitation climatology over Austin, Texas

CITE Title : DownScaleBench for developing and applying a deep learning based urban climate downscaling- first results for high-resolution urban precipitation climatology over Austin, Texas Personal Author(s) : Singh, Manmeet;Acharya, Nachiketa;Jamshidi, Sajad;Jiao, Junfeng;Yang, Zong-Liang;Coudert, Marc;Baumer, Zach;Niyogi, Dev; Published Date : 2023 Source : Computational Urban Science, 3(1) DOI : https://doi.org/10.1007/s43762-023-00096-9 Journal Title : Computational Urban Science Singh, Manmeet et al. (2023). DownScaleBench for developing and applying a deep learning based urban climate downscaling- first results for high-resolution urban precipitation climatology over Austin, Texas. 3(1). https://doi.org/10.1007/s43762-023-00096-9 Singh, Manmeet et al. "DownScaleBench for developing and applying a deep learning based urban climate downscaling- first results for high-resolution urban precipitation climatology over Austin, Texas" 3, no. 1 (2023), https://doi.org/10.1007/s43762-023-00096-9 Singh, Manmeet et al. "DownScaleBench for developing and applying a deep learning based urban climate downscaling- first results for high-resolution urban precipitation climatology over Austin, Texas" vol. 3, no. 1, 2023, https://doi.org/10.1007/s43762-023-00096-9 Export RIS Citation Information.

:

Singh, Manmeet

;

Acharya, Nachiketa

2023 | Computational Urban Science, 3(1)

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Cities need climate information to develop resilient infrastructure and for adaptation decisions. The information desired is at the order of magnitude...
Missing pieces to modeling the Arctic-Boreal puzzle

CITE Title : Missing pieces to modeling the Arctic-Boreal puzzle Personal Author(s) : Fisher, Joshua B;Hayes, Daniel J;Schwalm, Christopher R;Huntzinger, Deborah N;Stofferahn, Eric;Schaefer, Kevin;Luo, Yiqi;Wullschleger, Stan D;Goetz, Scott;Miller, Charles E;Griffith, Peter;Chadburn, Sarah;Chatterjee, Abhishek;Ciais, Philippe;Douglas, Thomas A;Genet, Hélène;Ito, Akihiko;Neigh, Christopher S R;Poulter, Benjamin;Rogers, Brendan M;Sonnentag, Oliver;Tian, Hanqin;Wang, Weile;Xue, Yongkang;Yang, Zong-Liang;Zeng, Ning;Zhang, Zhen; Published Date : 2018 Source : Environmental Research Letters, 13(2), 020202 DOI : https://doi.org/10.1088/1748-9326/aa9d9a Journal Title : Environmental Research Letters Fisher, Joshua B et al. (2018). Missing pieces to modeling the Arctic-Boreal puzzle. 13(2). https://doi.org/10.1088/1748-9326/aa9d9a Fisher, Joshua B et al. "Missing pieces to modeling the Arctic-Boreal puzzle" 13, no. 2 (2018), https://doi.org/10.1088/1748-9326/aa9d9a Fisher, Joshua B et al. "Missing pieces to modeling the Arctic-Boreal puzzle" vol. 13, no. 2, 2018, https://doi.org/10.1088/1748-9326/aa9d9a Export RIS Citation Information.

:

Fisher, Joshua B

;

Hayes, Daniel J

2018 | Environmental Research Letters, 13(2), 020202

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NASA has launched the decade-long Arctic-Boreal Vulnerability Experiment (ABoVE). While the initial phases focus on field and airborne data collection...
A modified deep learning weather prediction using cubed sphere for global precipitation

CITE Title : A modified deep learning weather prediction using cubed sphere for global precipitation Personal Author(s) : Singh, Manmeet;Acharya, Nachiketa;Patel, Pratiman;Jamshidi, Sajad;Yang, Zong-Liang;Kumar, Bipin;Rao, Suryachandra;Gill, Sukhpal Singh;Chattopadhyay, Rajib;Nanjundiah, Ravi S.;Niyogi, Dev; Published Date : 2023 Source : Frontiers in Climate, 4 DOI : https://doi.org/10.3389/fclim.2022.1022624 Journal Title : Frontiers in Climate Singh, Manmeet et al. (2023). A modified deep learning weather prediction using cubed sphere for global precipitation. 4https://doi.org/10.3389/fclim.2022.1022624 Singh, Manmeet et al. "A modified deep learning weather prediction using cubed sphere for global precipitation" 4 (2023), https://doi.org/10.3389/fclim.2022.1022624 Singh, Manmeet et al. "A modified deep learning weather prediction using cubed sphere for global precipitation" vol. 4, 2023, https://doi.org/10.3389/fclim.2022.1022624 Export RIS Citation Information.

:

Singh, Manmeet ;

Acharya, Nachiketa

2023 | Frontiers in Climate, 4

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Deep learning (DL), a potent technology to develop Digital Twin (DT), for weather prediction using cubed spheres (DLWP-CS) was recently proposed to fa...