24.8.6.6.2 Nowcasting, Weather Reportion, Weather Forecast

Chapter Contents (Back)
Nowcasting. Weather. Weather Precidtion. Weather Forecast.
See also Radar Echo Extrapolation. Combination of acquiring the data, rain, etc. and reporting it.

de Coning, E.[Estelle],
Optimizing Satellite-Based Precipitation Estimation for Nowcasting of Rainfall and Flash Flood Events over the South African Domain,
RS(5), No. 11, 2013, pp. 5702-5724.
DOI Link 1312
BibRef

Ruzanski, E., Chandrasekar, V.,
Weather Radar Data Interpolation Using a Kernel-Based Lagrangian Nowcasting Technique,
GeoRS(53), No. 6, June 2015, pp. 3073-3083.
IEEE DOI 1503
atmospheric techniques BibRef

Hong, S., Shin, D.B., Park, B., So, D.,
Development of Prototype Algorithms for Quantitative Precipitation Nowcasts From AMI Onboard the GEO-KOMPSAT-2A Satellite,
GeoRS(54), No. 12, December 2016, pp. 7149-7156.
IEEE DOI 1612
atmospheric precipitation BibRef

Keramitsoglou, I.[Iphigenia], Kiranoudis, C.T.[Chris T.], Sismanidis, P.[Panagiotis], Zakšek, K.[Klemen],
An Online System for Nowcasting Satellite Derived Temperatures for Urban Areas,
RS(8), No. 4, 2016, pp. 306.
DOI Link 1604
BibRef

Gallucci, D.[Donatello], Romano, F.[Filomena], Cersosimo, A.[Angela], Cimini, D.[Domenico], di Paola, F.[Francesco], Gentile, S.[Sabrina], Geraldi, E.[Edoardo], Larosa, S.[Salvatore], Nilo, S.T.[Saverio T.], Ricciardelli, E.[Elisabetta], Viggiano, M.[Mariassunta],
Nowcasting Surface Solar Irradiance with AMESIS via Motion Vector Fields of MSG-SEVIRI Data,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Manandhar, S.[Shilpa], Lee, Y.H.[Yee Hui], Meng, Y.S.[Yu Song], Yuan, F., Ong, J.T.,
GPS-Derived PWV for Rainfall Nowcasting in Tropical Region,
GeoRS(56), No. 8, August 2018, pp. 4835-4844.
IEEE DOI 1808
atmospheric humidity, atmospheric techniques, Global Positioning System, rain, weather forecasting, nowcasting, rainfall prediction BibRef

Yang, L.W.[Li-Wei], Gao, X.Q.[Xiao-Qing], Li, Z.C.[Zhen-Chao], Jia, D.Y.[Dong-Yu], Jiang, J.X.[Jun-Xia],
Nowcasting of Surface Solar Irradiance Using FengYun-4 Satellite Observations over China,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Spyrou, C.[Christos], Varlas, G.[George], Pappa, A.[Aikaterini], Mentzafou, A.[Angeliki], Katsafados, P.[Petros], Papadopoulos, A.[Anastasios], Anagnostou, M.N.[Marios N.], Kalogiros, J.[John],
Implementation of a Nowcasting Hydrometeorological System for Studying Flash Flood Events: The Case of Mandra, Greece,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Los, M.[Marcelina], Smolak, K.[Kamil], Guerova, G.[Guergana], Rohm, W.[Witold],
GNSS-Based Machine Learning Storm Nowcasting,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Han, L., Sun, J., Zhang, W.,
Convolutional Neural Network for Convective Storm Nowcasting Using 3-D Doppler Weather Radar Data,
GeoRS(58), No. 2, February 2020, pp. 1487-1495.
IEEE DOI 2001
Convective storm forecasting, convolutional neural network (CNN), deep learning, weather radar BibRef

Gallucci, D.[Donatello], de Natale, M.P.[Maria Pia], Cimini, D.[Domenico], di Paola, F.[Francesco], Gentile, S.[Sabrina], Geraldi, E.[Edoardo], Larosa, S.[Salvatore], Nilo, S.T.[Saverio Teodosio], Ricciardelli, E.[Elisabetta], Viggiano, M.[Mariassunta], Romano, F.[Filomena],
Convective Initiation Proxies for Nowcasting Precipitation Severity Using the MSG-SEVIRI Rapid Scan,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Zhao, Y.C.[Ying-Cheng], Liu, X.C.[Xi-Chuan], Liu, L.[Lei], Pu, K.[Kang], Song, K.[Kun],
Reconstruction of Rainfall Field Using Earth-Space Links Network: A Compressed Sensing Approach,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Xian, M.H.[Ming-Hao], Liu, X.C.[Xi-Chuan], Song, K.[Kun], Gao, T.C.[Tai-Chang],
Reconstruction and Nowcasting of Rainfall Field by Oblique Earth-Space Links Network: Preliminary Results from Numerical Simulation,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Barleben, A.[Axel], Haussler, S.[Stéphane], Müller, R.[Richard], Jerg, M.[Matthias],
A Novel Approach for Satellite-Based Turbulence Nowcasting for Aviation,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Pulkkinen, S., Chandrasekar, V., von Lerber, A., Harri, A.M.,
Nowcasting of Convective Rainfall Using Volumetric Radar Observations,
GeoRS(58), No. 11, November 2020, pp. 7845-7859.
IEEE DOI 2011
Rain, Predictive models, Mathematical model, Computational modeling, Radar measurements, Atmosphere, urban areas BibRef

Bouget, V.[Vincent], Béréziat, D.[Dominique], Brajard, J.[Julien], Charantonis, A.[Anastase], Filoche, A.[Arthur],
Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Trebing, K.[Kevin], Stanczyk, T.[Tomasz], Mehrkanoon, S.[Siamak],
SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture,
PRL(145), 2021, pp. 178-186.
Elsevier DOI 2104
Domain adaptation, Neural networks, Kernel methods, Coupling regularization BibRef

Niu, D.[Dan], Huang, J.H.[Jun-Hao], Zang, Z.L.[Zeng-Liang], Xu, L.J.[Liu-Jia], Che, H.S.[Hong-Shu], Tang, Y.Q.[Yuan-Qing],
Two-Stage Spatiotemporal Context Refinement Network for Precipitation Nowcasting,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Xu, L.J.[Liu-Jia], Niu, D.[Dan], Zhang, T.B.[Tian-Bao], Chen, P.J.[Peng-Ju], Chen, X.L.[Xun-Lai], Li, Y.H.[Ying-Hao],
Two-Stage UA-GAN for Precipitation Nowcasting,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Miyazawa, Y.[Yasumasa], Varlamov, S.M.[Sergey M.], Miyama, T.[Toru], Kurihara, Y.[Yukio], Murakami, H.[Hiroshi], Kachi, M.[Misako],
A Nowcast/Forecast System for Japan's Coasts Using Daily Assimilation of Remote Sensing and In Situ Data,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Alonso-Montesinos, J.[Joaquín], Monterreal, R.[Rafael], Fernandez-Reche, J.[Jesus], Ballestrín, J.[Jesús], López, G.[Gabriel], Polo, J.[Jesús], Barbero, F.J.[Francisco Javier], Marzo, A.[Aitor], Portillo, C.[Carlos], Batlles, F.J.[Francisco Javier],
Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Xiao, X.[Xian], Qie, X.[Xiushu], Chen, Z.X.[Zhi-Xiong], Lu, J.Y.[Jing-Yu], Ji, L.[Lei], Wang, D.F.[Dong-Fang], Zhang, L.[Lina], Chen, M.X.[Ming-Xuan], Chen, M.[Min],
Evaluating the Performance of Lightning Data Assimilation from BLNET Observations in a 4DVAR-Based Weather Nowcasting Model for a High-Impact Weather over Beijing,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Guo, S.C.[Shu-Chang], Wang, J.Y.[Jin-Yan], Gan, R.[Ruhui], Yang, Z.[Zhida], Yang, Y.[Yi],
Experimental Study of Cloud-to-Ground Lightning Nowcasting with Multisource Data Based on a Video Prediction Method,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Han, L.[Lei], Zhao, Y.Y.[Yang-Yang], Chen, H.[Haonan], Chandrasekar, V.,
Advancing Radar Nowcasting Through Deep Transfer Learning,
GeoRS(60), 2022, pp. 1-9.
IEEE DOI 2112
Radar, Data models, Transfer learning, Deep learning, Training, Computational modeling, Task analysis, weather radar BibRef

Guerova, G.[Guergana], Douša, J.[Jan], Dimitrova, T.[Tsvetelina], Stoycheva, A.[Anastasiya], Václavovic, P.[Pavel], Penov, N.[Nikolay],
GNSS Storm Nowcasting Demonstrator for Bulgaria,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

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
BibRef

Mazzarella, V.[Vincenzo], Milelli, M.[Massimo], Lagasio, M.[Martina], Federico, S.[Stefano], Torcasio, R.C.[Rosa Claudia], Biondi, R.[Riccardo], Realini, E.[Eugenio], Llasat, M.C.[Maria Carmen], Rigo, T.[Tomeu], Esbrí, L.[Laura], Kerschbaum, M.[Markus], Temme, M.M.[Marco-Michael], Gluchshenko, O.[Olga], Parodi, A.[Antonio],
Is an NWP-Based Nowcasting System Suitable for Aviation Operations?,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Yoon, S.S.[Seong-Sim], Shin, H.[Hongjoon], Heo, J.Y.[Jae-Yeong], Choi, K.B.[Kwang-Bae],
Assessment of Deep Learning-Based Nowcasting Using Weather Radar in South Korea,
RS(15), No. 21, 2023, pp. 5197.
DOI Link 2311
BibRef

Fan, L.[Ling], Zhou, C.H.[Chang-Hai],
Cloud-to-Ground and Intra-Cloud Nowcasting Lightning Using a Semantic Segmentation Deep Learning Network,
RS(15), No. 20, 2023, pp. 4981.
DOI Link 2310
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
BibRef

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
BibRef

Li, Z.[Zhouyayan], Xiang, Z.[Zhongrun], Demiray, B.Z.[Bekir Z.], Sit, M.[Muhammed], Demir, I.[Ibrahim],
MA-SARNet: A one-shot nowcasting framework for SAR image prediction with physical driving forces,
PandRS(205), 2023, pp. 176-190.
Elsevier DOI 2311
One-shot nowcasting, SAR image prediction, Deep learning, Image synthesis with physical forces, Floods, Remote sensing BibRef

Ye, Y.K.[Yuan-Kang], Gao, F.[Feng], Cheng, W.[Wei], Liu, C.[Chang], Zhang, S.Q.[Shao-Qing],
MSSTNet: A Multi-Scale Spatiotemporal Prediction Neural Network for Precipitation Nowcasting,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Cao, Y.[Yuan], Zhang, D.[Danchen], Zheng, X.[Xin], Shan, H.M.[Hong-Ming], Zhang, J.P.[Jun-Ping],
Mutual Information Boosted Precipitation Nowcasting from Radar Images,
RS(15), No. 6, 2023, pp. 1639.
DOI Link 2304
BibRef

Ha, J.H.[Ji-Hoon], Lee, H.[Hyesook],
Enhancing Rainfall Nowcasting Using Generative Deep Learning Model with Multi-Temporal Optical Flow,
RS(15), No. 21, 2023, pp. 5169.
DOI Link 2311
BibRef

Ling, X.D.[Xu-Dong], Li, C.R.[Chao-Rong], Yang, P.[Peng], Huang, Y.Y.[Yuan-Yuan], Qin, F.Q.[Feng-Qing],
TU2Net-GAN: A temporal precipitation nowcasting model with multiple decoding modules,
PRL(178), 2024, pp. 98-105.
Elsevier DOI Code:
WWW Link. 2402
Generative adversarial networks, Rainfall prediction, UNet BibRef

Xiong, T.[Taisong], Wang, W.P.[Wei-Ping], He, J.X.[Jian-Xin], Su, R.[Rui], Wang, H.[Hao], Hu, J.R.[Jin-Rong],
Spatiotemporal Feature Fusion Transformer for Precipitation Nowcasting via Feature Crossing,
RS(16), No. 14, 2024, pp. 2685.
DOI Link 2408
BibRef

Yu, W.B.[Wen-Bin], Fu, D.[Daoyong], Zhang, C.J.[Cheng-Jun], Chen, Y.[Yadang], Liu, A.X.[Alex X.], An, J.J.[Jing-Jing],
Enhanced Precipitation Nowcasting via Temporal Correlation Attention Mechanism and Innovative Jump Connection Strategy,
RS(16), No. 20, 2024, pp. 3757.
DOI Link 2411
BibRef

Hu, J.P.[Jian-Ping], Yin, B.[Bo], Guo, C.Q.[Chao-Qun],
METEO-DLNet: Quantitative Precipitation Nowcasting Net Based on Meteorological Features and Deep Learning,
RS(16), No. 6, 2024, pp. 1063.
DOI Link 2403
BibRef

Tan, Y.W.[You-Wei], Zhang, T.[Ting], Li, L.J.[Lei-Jing], Li, J.Z.[Jian-Zhu],
Radar-Based Precipitation Nowcasting Based on Improved U-Net Model,
RS(16), No. 10, 2024, pp. 1681.
DOI Link 2405
BibRef

Ling, X.D.[Xu-Dong], Li, C.[Chaorong], Qin, F.Q.[Feng-Qing], Yang, P.[Peng], Huang, Y.Y.[Yuan-Yuan],
RNDiff: Rainfall nowcasting with Condition Diffusion Model,
PR(160), 2025, pp. 111193.
Elsevier DOI Code:
WWW Link. 2501
Diffusion models, Rainfall prediction, Condition encoder BibRef

Zhang, L.[Lei], Zhang, R.[Ruoyang], Wu, Y.[Yu], Wang, Y.D.[Ya-Dong], Zhang, Y.F.[Yan-Feng], Zheng, L.J.[Li-Juan], Xu, C.B.[Chong-Bin], Zuo, X.[Xin], Wang, Z.[Zeyu],
ResTUnet: A Novel Neural Network Model for Nowcasting Using Radar Echo Sequences by Ground-Based Remote Sensing,
RS(16), No. 24, 2024, pp. 4792.
DOI Link 2501
BibRef

Ji, X.P.[Xian-Pu], Song, X.J.[Xiao-Jiang], Guo, A.[Anboyu], Liu, K.[Kai], Cao, H.J.[Hai-Jin], Feng, T.[Tao],
Oceanic Precipitation Nowcasting Using a UNet-Based Residual and Attention Network and Real-Time Himawari-8 Images,
RS(16), No. 16, 2024, pp. 2871.
DOI Link 2408
BibRef

Wang, H.[Hao], Yang, R.[Rong], He, J.X.[Jian-Xin], Zeng, Q.Y.[Qiang-Yu], Xiong, T.[Taisong], Liu, Z.H.[Zhi-Hao], Jin, H.F.[Hong-Fei],
Enhancing Precipitation Nowcasting Through Dual-Attention RNN: Integrating Satellite Infrared and Radar VIL Data,
RS(17), No. 2, 2025, pp. 238.
DOI Link 2502
BibRef

Klotz, B.[Barbara], Gradl, R.[Regine], Schenzinger, V.[Verena], Schwarzmann, M.[Michael], Schreder, J.[Josef], Lorenz, S.[Sebastian], Gröbner, J.[Julian], Hülsen, G.[Gregor], Kreuter, A.[Axel],
UV Map Nowcasting and Comparison with Ground-Based UV Measurements for the DACH Region,
RS(17), No. 4, 2025, pp. 629.
DOI Link 2502
BibRef

Zhang, Z.[Zhan], Song, Q.P.[Qing-Ping], Duan, M.Z.[Min-Zheng], Liu, H.L.[Hai-Lei], Huo, J.[Juan], Han, C.Z.[Cong-Zheng],
Deep Learning Model for Precipitation Nowcasting Based on Residual and Attention Mechanisms,
RS(17), No. 7, 2025, pp. 1123.
DOI Link 2504
BibRef

Li, Z.[Zhuang], Lu, Z.Y.[Zhen-Yu], Li, Y.Z.[Yi-Zhe], Liu, X.[Xuan],
SwinNowcast: A Swin Transformer-Based Model for Radar-Based Precipitation Nowcasting,
RS(17), No. 9, 2025, pp. 1550.
DOI Link 2505
BibRef


Yu, D.[Demin], Li, X.[Xutao], Ye, Y.M.[Yun-Ming], Zhang, B.Q.[Bao-Quan], Luo, C.[Chuyao], Dai, K.[Kuai], Wang, R.[Rui], Chen, X.[Xunlai],
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting,
CVPR24(27758-27767)
IEEE DOI Code:
WWW Link. 2410
Fading channels, Meteorological radar, Precipitation, Smart cities, Stochastic processes, Probabilistic logic, Precipitation Nowcasting BibRef

Zheng, X.F.[Xiao-Fan], Kong, H.[Hoiio],
Rain Radar and Meteorological Parameters Fusion for Precipitation Nowcasting: Effect Exploration and Lightweight Model,
CVIDL23(343-347)
IEEE DOI 2403
Deep learning, Meteorological radar, Wind, Rain, Computational modeling, Data integration, Data Fusion BibRef

Fang, W.[Wei], Qi, M.[Meihan],
Swinat-Unet: a new Backbone for Precipitation Nowcasting,
ICIP23(231-235)
IEEE DOI 2312
BibRef

Sun, F.[Feng], Bai, C.[Cong], Song, Y.[Yi], Zhang, J.L.[Jing-Lin],
MMINR: Multi-frame-to-Multi-frame Inference with Noise Resistance for Precipitation Nowcasting with Radar,
ICPR22(97-103)
IEEE DOI 2212
Resistance, Training, Precipitation, Computational modeling, Semantics, Resists, Predictive models BibRef

Lepoittevin, Y., Herlin, I.,
Modeling high rainfall regions for flash flood nowcasting,
MultiTemp15(1-4)
IEEE DOI 1511
atmospheric techniques BibRef

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


Last update:Jul 7, 2025 at 14:35:55