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Application of postprocessing to watershed-scale subseasonal climate forecasts over the contiguous United States

Publications | HAP - May 1, 2020 - 1:00pm
Baker, Sarah A., Andrew W. Wood, Balaji Rajagopalan, 2020: Application of postprocessing to watershed-scale subseasonal climate forecasts over the contiguous United States. Journal of Hydrometeorology, OpenSky .

Impact of combined assimilation of radar and rainfall data on short-term heavy rainfall prediction: A case study

Publications | HAP - May 1, 2020 - 1:00pm
Sun, Juanzhen, Ying Zhang, Junmei Ban, Jing-Shan Hong, Chung-Yi Lin, 2020: Impact of combined assimilation of radar and rainfall data on short-term heavy rainfall prediction: A case study. Monthly Weather Review, OpenSky .

A multi-time-scale four-dimensional variational data assimilation scheme and its application to simulated radial velocity and reflectivity data

Publications | HAP - May 1, 2020 - 1:00pm
Sun, Tao, Yaodeng Chen, Juanzhen Sun, Hongli Wang, Haiqin Chen, Yuanbing Wang, Deming Meng, 2020: A multi-time-scale four-dimensional variational data assimilation scheme and its application to simulated radial velocity and reflectivity data. Monthly Weather Review, OpenSky .

Impact of combined assimilation of radar and rainfall data on short-term heavy rainfall prediction: A case study

Publications | RAL - May 1, 2020 - 1:00pm
Sun, Juanzhen, Ying Zhang, Junmei Ban, Jing-Shan Hong, Chung-Yi Lin, 2020: Impact of combined assimilation of radar and rainfall data on short-term heavy rainfall prediction: A case study. Monthly Weather Review, 10.1175/MWR-D-19-0337.1 .

A multi-time-scale four-dimensional variational data assimilation scheme and its application to simulated radial velocity and reflectivity data

Publications | RAL - May 1, 2020 - 1:00pm
Sun, Tao, Yaodeng Chen, Juanzhen Sun, Hongli Wang, Haiqin Chen, Yuanbing Wang, Deming Meng, 2020: A multi-time-scale four-dimensional variational data assimilation scheme and its application to simulated radial velocity and reflectivity data. Monthly Weather Review, 10.1175/MWR-D-19-0203.1 .

Impact of combined assimilation of radar and rainfall data on short-term heavy rainfall prediction: A case study

Publications | HAP - May 1, 2020 - 1:00pm
Sun, Juanzhen, Ying Zhang, Junmei Ban, Jing-Shan Hong, Chung-Yi Lin, 2020: Impact of combined assimilation of radar and rainfall data on short-term heavy rainfall prediction: A case study. Monthly Weather Review, 10.1175/MWR-D-19-0337.1 .

A multi-time-scale four-dimensional variational data assimilation scheme and its application to simulated radial velocity and reflectivity data

Publications | HAP - May 1, 2020 - 1:00pm
Sun, Tao, Yaodeng Chen, Juanzhen Sun, Hongli Wang, Haiqin Chen, Yuanbing Wang, Deming Meng, 2020: A multi-time-scale four-dimensional variational data assimilation scheme and its application to simulated radial velocity and reflectivity data. Monthly Weather Review, 10.1175/MWR-D-19-0203.1 .

Evaluation of NOAH-MP Land-Model uncertainties over sparsely vegetated sites on the Tibet Plateau

Publications | HAP - April 30, 2020 - 1:00pm
Zhang, Guo, Fei Chen, Yueli Chen, Jianduo Li, Xindong Peng, 2020: Evaluation of NOAH-MP Land-Model uncertainties over sparsely vegetated sites on the Tibet Plateau. Atmosphere, OpenSky .

How much does large-scale crop residue burning affect the air quality in Delhi?

Publications | RAL - April 19, 2020 - 1:00pm
Kulkarni, Santosh H., Sachin D. Ghude, Chinmay Jena, Rama K. Karumuri, Baerbel Sinha, V. Sinha, Rajesh Kumar, V. K. Soni, Manoj Khare, 2020: How much does large-scale crop residue burning affect the air quality in Delhi?. Environmental Science & Technology, OpenSky .

How much does large-scale crop residue burning affect the air quality in Delhi?

Publications | NSAP - April 19, 2020 - 1:00pm
Kulkarni, Santosh H., Sachin D. Ghude, Chinmay Jena, Rama K. Karumuri, Baerbel Sinha, V. Sinha, Rajesh Kumar, V. K. Soni, Manoj Khare, 2020: How much does large-scale crop residue burning affect the air quality in Delhi?. Environmental Science & Technology, OpenSky .

Ozone pollution over China and India: seasonality and sources

Publications | RAL - April 16, 2020 - 1:00pm
Gao, Meng, Jinhui Gao, Bin Zhu, Rajesh Kumar, Xiao Lu, Shaojie Song, Yuzhong Zhang, Beixi Jia, Peng Wang, Gufran Beig, Jianlin Hu, Qi Ying, Hongliang Zhang, Peter Sherman, Michael B. McElroy, 2020: Ozone pollution over China and India: seasonality and sources. Atmospheric Chemistry and Physics, OpenSky .

Ozone pollution over China and India: seasonality and sources

Publications | NSAP - April 16, 2020 - 1:00pm
Gao, Meng, Jinhui Gao, Bin Zhu, Rajesh Kumar, Xiao Lu, Shaojie Song, Yuzhong Zhang, Beixi Jia, Peng Wang, Gufran Beig, Jianlin Hu, Qi Ying, Hongliang Zhang, Peter Sherman, Michael B. McElroy, 2020: Ozone pollution over China and India: seasonality and sources. Atmospheric Chemistry and Physics, OpenSky .

Performance of the HWRF rapid intensification analog ensemble (HWRF RI-AnEn) during the 2017 and 2018 HFIP real-time demonstrations

Publications | NSAP - April 15, 2020 - 1:00pm
Lewis, William E., Christopher Rozoff, Stefano Alessandrini, Luca Delle Monache, 2020: Performance of the HWRF rapid intensification analog ensemble (HWRF RI-AnEn) during the 2017 and 2018 HFIP real-time demonstrations. Weather and Forecasting, OpenSky .

Development of a method to detect high ice water content environments using machine learning

Publications | AAP - April 14, 2020 - 1:00pm
Haggerty, Julie A., Allyson Rugg, Rodney Potts, Alain Protat, J. Walter Strapp, Thomas Ratvasky, Kristopher Bedka, Alice Grandin, 2020: Development of a method to detect high ice water content environments using machine learning. Journal of Atmospheric and Oceanic Technology, OpenSky .

TIER version 1.0: An open-source Topographically InformEd Regression (TIER) model to estimate spatial meteorological fields

Publications | RAL - April 6, 2020 - 1:00pm
Newman, Andrew J., Martyn P. Clark, 2020: TIER version 1.0: An open-source Topographically InformEd Regression (TIER) model to estimate spatial meteorological fields. Geoscientific Model Development, OpenSky .

TIER version 1.0: An open-source Topographically InformEd Regression (TIER) model to estimate spatial meteorological fields

Publications | HAP - April 6, 2020 - 1:00pm
Newman, Andrew J., Martyn P. Clark, 2020: TIER version 1.0: An open-source Topographically InformEd Regression (TIER) model to estimate spatial meteorological fields. Geoscientific Model Development, OpenSky .

Examining the potential of a random forest derived cloud mask from GOES-R satellites to improve solar irradiance forecasting

Publications | WSAP - April 3, 2020 - 1:00pm
McCandless, Tyler, Pedro Angel Jiménez, 2020: Examining the potential of a random forest derived cloud mask from GOES-R satellites to improve solar irradiance forecasting. Energies, OpenSky .

Combining artificial intelligence with physics-based methods for probabilistic renewable energy forecasting

Publications | NSAP - April 2, 2020 - 1:00pm
Haupt, Sue Ellen, Tyler C. McCandless, Susan Dettling, Stefano Alessandrini, Jared A. Lee, Seth Linden, William Petzke, Thomas Brummet, Nhi Nguyen, Branko Kosović, Gerry Wiener, Tahani Hussain, Majed Al-Rasheedi, 2020: Combining artificial intelligence with physics-based methods for probabilistic renewable energy forecasting. Energies, OpenSky .

Combining artificial intelligence with physics-based methods for probabilistic renewable energy forecasting

Publications | WSAP - April 2, 2020 - 1:00pm
Haupt, Sue Ellen, Tyler C. McCandless, Susan Dettling, Stefano Alessandrini, Jared A. Lee, Seth Linden, William Petzke, Thomas Brummet, Nhi Nguyen, Branko Kosović, Gerry Wiener, Tahani Hussain, Majed Al-Rasheedi, 2020: Combining artificial intelligence with physics-based methods for probabilistic renewable energy forecasting. Energies, OpenSky .

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