24.8.6.6.2 Nowcasting, Weather Reportion, Weather Forecast

Chapter Contents (Back)
Nowcasting. Weather. Weather Precidtion. Weather Forecast. C ombination 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

Sun, N.L.[Neng-Li], Zhou, Z.M.[Ze-Ming], Li, Q.[Qian], Jing, J.[Jinrui],
Three-Dimensional Gridded Radar Echo Extrapolation for Convective Storm Nowcasting Based on 3D-ConvLSTM Model,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Guo, S.Q.[Shi-Qing], Sun, N.[Nengli], Pei, Y.[Yanle], Li, Q.[Qian],
3D-UNet-LSTM: A Deep Learning-Based Radar Echo Extrapolation Model for Convective Nowcasting,
RS(15), No. 6, 2023, pp. 1529.
DOI Link 2304
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.[Chaoqun],
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


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

Gan, J.H.[Jian-Hong], Qi, H.[Hui], Hu, W.D.[Wen-Dong],
Research on weather radar nowcasting extrapolation,
CVIDL20(84-89)
IEEE DOI 2102
extrapolation, geophysics computing, learning (artificial intelligence), meteorological radar, rain, LSTM 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:Jan 20, 2025 at 11:36:25