Weather Prediction, Weather Forecast, Weather Radar Applications

Chapter Contents (Back)
Weather. Weather Precidtion. Weather Forecast.

Bingham, G.[Gail],
STORM: a sounding and tracking observatory for regional meteorology,
SPIE(Newsroom), October 29, 2013.
DOI Link 1311
Increases in storm intensity and occurrence are demanding improved real-time sensors and prediction capabilities in storm forecasting. BibRef

Rasmy, M.[Mohamed], Koike, T.[Toshio], Li, X.[Xin],
Applicability of Multi-Frequency Passive Microwave Observations and Data Assimilation Methods for Improving Numerical Weather Forecasting in Niger, Africa,
RS(6), No. 6, 2014, pp. 5306-5324.
DOI Link 1407

Brunet, D., Sills, D.,
An Implicit Contour Morphing Framework Applied to Computer-Aided Severe Weather Forecasting,
SPLetters(22), No. 11, November 2015, pp. 1936-1939.
atmospheric techniques BibRef

Ulmer, F.G.[Franz-Georg], Adam, N.[Nico],
A Synergy Method to Improve Ensemble Weather Predictions and Differential SAR Interferograms,
PandRS(109), No. 1, 2015, pp. 98-107.
Elsevier DOI 1512
APS BibRef

Pagano, T.[Tom],
CubeSat platform will lower cost of weather modeling and forecasting,
SPIE(Newsroom), December 14, 2016.
DOI Link 1612
The AIRS Instrument Suite makes monitoring water vapor and temperature possible on a global scale. BibRef

Bhomia, S.[Swati], Jaiswal, N.[Neeru], Kishtawal, C.M., Kumar, R.[Raj],
Multimodel Prediction of Monsoon Rain Using Dynamical Model Selection,
GeoRS(54), No. 5, May 2016, pp. 2911-2917.
atmospheric techniques BibRef

Rani, S.I.[S. Indira], Doherty, A.[Amy], Atkinson, N.[Nigel], Bell, W.[William], Newman, S.[Stuart], Renshaw, R.[Richard], George, J.P.[John P.], Rajagopal, E.N.[Ekkattil N.],
Effect of new radiance observations on numerical weather prediction models,
SPIE(Newsroom), August 3, 2016
DOI Link 1610
The impact of humidity observations, from the Sounder for Atmospheric Profiling of Humidity in the Intertropics by Radiometry instrument, on an existing unified model assimilation system is investigated. BibRef

Liu, C.Y.[Chian-Yi], Kuo, S.C.[Szu-Chen], Lim, A.H.N.[Agnes H. N.], Hsu, S.C.[Shen-Cha], Tseng, K.H.[Kuo-Hsin], Yeh, N.C.[Nan-Ching], Yang, Y.C.[Yu-Chi],
Optimal Use of Space-Borne Advanced Infrared and Microwave Soundings for Regional Numerical Weather Prediction,
RS(8), No. 10, 2016, pp. 816.
DOI Link 1609

Das, M.[Monidipa], Ghosh, S.K.[Soumya K.],
semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data,
PRL(93), No. 1, 2017, pp. 192-201.
Elsevier DOI 1706
Bayesian, network BibRef

Brunet, D., Sills, D.,
A Generalized Distance Transform: Theory and Applications to Weather Analysis and Forecasting,
GeoRS(55), No. 3, March 2017, pp. 1752-1764.
Forecasting BibRef

Ulmer, F.G.[Franz-Georg], Adam, N.[Nico],
Characterisation and improvement of the structure function estimation for application in PSI,
PandRS(128), No. 1, 2017, pp. 40-46.
Elsevier DOI 1706
Weather Research and Forecasting model, (WRF) BibRef

Das, M.[Monidipa], Ghosh, S.K.[Soumya K.],
Data-driven approaches for meteorological time series prediction: A comparative study of the state-of-the-art computational intelligence techniques,
PRL(105), 2018, pp. 155-164.
Elsevier DOI 1804
Computational intelligence, Data-driven modeling, Bayesian network, Time series prediction, Meteorology BibRef

Lawrence, H., Bormann, N., Geer, A.J., Lu, Q., English, S.J.,
Evaluation and Assimilation of the Microwave Sounder MWHS-2 Onboard FY-3C in the ECMWF Numerical Weather Prediction System,
GeoRS(56), No. 6, June 2018, pp. 3333-3349.
Electromagnetic heating, Humidity, Instruments, Microwave imaging, Microwave measurement, Microwave radiometry, Weather forecasting, passive microwave remote sensing BibRef

Yoon, S.S.[Seong-Sim],
Adaptive Blending Method of Radar-Based and Numerical Weather Prediction QPFs for Urban Flood Forecasting,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903

Randriamampianina, R.[Roger], Schyberg, H.[Harald], Mile, M.[Máté],
Observing System Experiments with an Arctic Mesoscale Numerical Weather Prediction Model,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905

Manzoni, M.[Marco], Monti-Guarnieri, A.V.[Andrea Virgilio], Realini, E.[Eugenio], Venuti, G.[Giovanna],
Joint Exploitation of SAR and GNSS for Atmospheric Phase Screens Retrieval Aimed at Numerical Weather Prediction Model Ingestion,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003

Lee, J.H.[Jae-Hyeok], Lee, S.S.[Sangmin S.], Kim, H.G.[Hak Gu], Song, S.K.[Sa-Kwang], Kim, S.[Seongchan], Ro, Y.M.[Yong Man],
MCSIP Net: Multichannel Satellite Image Prediction via Deep Neural Network,
GeoRS(58), No. 3, March 2020, pp. 2212-2224.
Weather prediction. Image prediction, multichannel satellite image prediction, satellite image prediction BibRef

Lee, H.[Hongtak], Won, J.S.[Joong-Sun], Park, W.[Wook],
An Atmospheric Correction Using High Resolution Numerical Weather Prediction Models for Satellite-Borne Single-Channel Mid-Wavelength and Thermal Infrared Imaging Sensors,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003

Newman, S.[Stuart], Carminati, F.[Fabien], Lawrence, H.[Heather], Bormann, N.[Niels], Salonen, K.[Kirsti], Bell, W.[William],
Assessment of New Satellite Missions within the Framework of Numerical Weather Prediction,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006

Laverde-Barajas, M.[Miguel], Corzo, G.A.[Gerald A.], Poortinga, A.[Ate], Chishtie, F.[Farrukh], Meechaiya, C.[Chinaporn], Jayasinghe, S.[Susantha], Towashiraporn, P.[Peeranan], Markert, A.[Amanda], Saah, D.[David], Son, L.H.[Lam Hung], Khem, S.[Sothea], Boonya-Aroonnet, S.[Surajate], Chaowiwat, W.[Winai], Uijlenhoet, R.[Remko], Solomatine, D.P.[Dimitri P.],
ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011

Esmaili, R.B.[Rebekah B.], Smith, N.[Nadia], Berndt, E.B.[Emily B.], Dostalek, J.F.[John F.], Kahn, B.H.[Brian H.], White, K.[Kristopher], Barnet, C.D.[Christopher D.], Sjoberg, W.[William], Goldberg, M.[Mitchell],
Adapting Satellite Soundings for Operational Forecasting within the Hazardous Weather Testbed,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003

Berndt, E.[Emily], Smith, N.[Nadia], Burks, J.[Jason], White, K.[Kris], Esmaili, R.[Rebekah], Kuciauskas, A.[Arunas], Duran, E.[Erika], Allen, R.[Roger], LaFontaine, F.[Frank], Szkodzinski, J.[Jeff],
Gridded Satellite Sounding Retrievals in Operational Weather Forecasting: Product Description and Emerging Applications,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010

Liu, Y.C.[Yu-Chen], Liu, J.[Jia], Li, C.Z.[Chuan-Zhe], Yu, F.L.[Fu-Liang], Wang, W.[Wei],
Effect of the Assimilation Frequency of Radar Reflectivity on Rain Storm Prediction by Using WRF-3DVAR,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106

Dewitte, S.[Steven], Cornleis, J.P.[Jan P.], Müller, R.[Richard], Munteanu, A.[Adrian],
Artificial Intelligence Revolutionises Weather Forecast, Climate Monitoring and Decadal Prediction,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Wang, Y.Z.[Yuan-Zu], Amodeo, A.[Aldo], O'Connor, E.J.[Ewan J.], Baars, H.[Holger], Bortoli, D.[Daniele], Hu, Q.Y.[Qiao-Yun], Sun, D.S.[Dong-Song], d'Amico, G.[Giuseppe],
Numerical Weather Predictions and Re-Analysis as Input for Lidar Inversions: Assessment of the Impact on Optical Products,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206

Wang, Y.J.[Ying-Jie], Wu, J.P.[Jian-Ping], Yang, X.R.[Xiang-Rong], Peng, J.[Jun], Pan, X.T.[Xiao-Tian],
Orographic Construction of a Numerical Weather Prediction Spectral Model Based on ASTER Data and Its Application to Simulation of the Henan 20-7 Extreme Rainfall Event,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208

Albu, A.I.[Alexandra-Ioana], Czibula, G.[Gabriela], Mihai, A.[Andrei], Czibula, I.G.[Istvan Gergely], Burcea, S.[Sorin], Mezghani, A.[Abdelkader],
NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208

Zeng, Q.Y.[Qiang-Yu], Li, H.R.[Hao-Ran], Zhang, T.[Tao], He, J.X.[Jian-Xin], Zhang, F.[Fugui], Wang, H.[Hao], Qing, Z.P.[Zhi-Peng], Yu, Q.[Qiu], Shen, B.Y.[Bang-Yue],
Prediction of Radar Echo Space-Time Sequence Based on Improving TrajGRU Deep-Learning Model,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210

Song, H.J.[Hwan-Jin], Roh, S.[Soonyoung],
Impact of Horizontal Resolution on the Robustness of Radiation Emulators in a Numerical Weather Prediction Model,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306

Zhang, X.B.[Xin-Bang], Jin, Q.Z.[Qi-Zhao], Yu, T.Z.[Ting-Zhao], Xiang, S.M.[Shi-Ming], Kuang, Q.M.[Qiu-Ming], Prinet, V.[Véronique], Pan, C.H.[Chun-Hong],
Multi-Modal Spatio-Temporal Meteorological Forecasting with Deep Neural Network,
PandRS(188), 2022, pp. 380-393.
Elsevier DOI 2205
Meterological forecasting, Deep learning, Neural architecture search, AutoML BibRef

Ma, Z.[Zheng], Li, Z.L.[Zheng-Long], Li, J.[Jun], Min, M.[Min], Sun, J.H.[Jian-Hua], Wei, X.C.[Xiao-Cheng], Schmit, T.J.[Timothy J.], Cucurull, L.[Lidia],
An Enhanced Storm Warning and Nowcasting Model in Pre-Convection Environments,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306

Gong, A.[Aofan], Li, R.D.[Rui-Dong], Pan, B.X.[Bao-Xiang], Chen, H.[Haonan], Ni, G.[Guangheng], Chen, M.X.[Ming-Xuan],
Enhancing Spatial Variability Representation of Radar Nowcasting with Generative Adversarial Networks,
RS(15), No. 13, 2023, pp. 3306.
DOI Link 2307

Khaira, U.[Ummul], Astitha, M.[Marina],
Exploring the Real-Time WRF Forecast Skill for Four Tropical Storms, Isaias, Henri, Elsa and Irene, as They Impacted the Northeast United States,
RS(15), No. 13, 2023, pp. 3219.
DOI Link 2307

Zhang, X.B.[Xin-Bang], Jin, Q.Z.[Qi-Zhao], Xiang, S.M.[Shi-Ming], Pan, C.H.[Chun-Hong],
AutoMF: Spatio-temporal Architecture Search for The Meteorological Forecasting Task,
Measurement, Correlation, Convolution, Image color analysis, Predictive models, Search problems, Spatiotemporal phenomena BibRef

Diaconu, C.A.[Codrut-Andrei], Saha, S.[Sudipan], Günnemann, S.[Stephan], Zhu, X.X.[Xiao Xiang],
Understanding the Role of Weather Data for Earth Surface Forecasting using a ConvLSTM-based Model,
Earth, Adaptation models, Uncertainty, Computational modeling, Land surface, Predictive models, Data models, Climate change BibRef

Molinari, M.E., Manzoni, M., Petrushevsky, N., Guarnieri, A.M., Venuti, G., Meroni, A.N., Mascitelli, A., Parodi, A.,
A Novel Procedure for Generation of SAR-derived ZTD Maps for Weather Prediction: Application to South Africa Use Case,
ISPRS21(B3-2021: 405-410).
DOI Link 2201

Ramos, M.M.P.[Mery Milagros Paco], del Alamo, C.L.[Cristian López], Zapana, R.A.[Reynaldo Alfonte],
Forecasting of Meteorological Weather Time Series Through a Feature Vector Based on Correlation,
Springer DOI 1909

Wilson, K.A.[Katie A.], Choate, J.J.[Jessica J.], Clark, A.J.[Adam J.], Gallo, B.T.[Burkely T.], Heinselman, P.L.[Pamela L.], Knopfmeier, K.H.[Kent H.], Roberts, B.[Brett], Skinner, P.S.[Patrick S.], Yussouf, N.[Nusrat],
Exploring Applications of Storm-Scale Probabilistic Warn-on-Forecast Guidance in Weather Forecasting,
Springer DOI 1909

Saha, M.[Moumita], Mitra, P.[Pabitra],
Climate Network Based Index Discovery for Prediction of Indian Monsoon,
Springer DOI 1511

Sakaino, H.,
A unified prediction method for heterogeneous weather radar patterns,

Otsuka, K., Horikoshi, T., Suzuki, S.,
Image Sequence Retrieval for Forecasting Weather Radar Echo Pattern,
MVA98(xx-yy). BibRef 9800

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Convective Storm Analysis, Weather Radar Applications .

Last update:Aug 31, 2023 at 09:37:21