306 citations as recorded by crossref.

1. Predictive Skill of Teleconnection Patterns in Twentieth Century Seasonal Hindcasts and Their Relationship to Extreme Winter Temperatures in Europe N. Schuhen et al. 10.1029/2020GL092360
2. How well can we predict vegetation growth through the coming growing season? Q. Peng et al. 10.1016/j.srs.2022.100043
3. Seasonal forecast skill of upper-ocean heat content in coupled high-resolution systems R. McAdam et al. 10.1007/s00382-021-06101-3
4. Satellite-Based Data Assimilation System for the Initialization of Arctic Sea Ice Concentration and Thickness Using CICE5 J. Lee & Y. Ham 10.3389/fclim.2022.797733
5. Seasonal Predictability of the East Atlantic Pattern in Late Autumn and Early Winter H. Thornton et al. 10.1029/2022GL100712
6. Extreme fire weather is the major driver of severe bushfires in southeast Australia B. Wang et al. 10.1016/j.scib.2021.10.001
7. Performances of climatic indicators from seasonal forecasts for ecosystem management: The case of Central Europe and the Mediterranean J. Costa-Saura et al. 10.1016/j.agrformet.2022.108921
8. Moving climate seasonal forecasts information from useful to usable for early within-season predictions of durum wheat yield R. Dainelli et al. 10.1016/j.cliser.2022.100324
9. Assessing the value of seasonal hydrological forecasts for improving water resource management: insights from a pilot application in the UK A. Peñuela et al. 10.5194/hess-24-6059-2020
10. Seasonal preparedness pilot – Sub-seasonal and seasonal prediction service for tyre companies 10.35614/ISSN-2341-6408-IK-2022-02-RL
11. High resolution monitoring and probabilistic prediction of meteorological drought in a Mediterranean environment M. Torres-Vázquez et al. 10.1016/j.wace.2023.100558
12. SIPN South: six years of coordinated seasonal Antarctic sea ice predictions F. Massonnet et al. 10.3389/fmars.2023.1148899
13. A Historical Perspective of the La Niña Event in 2020/2021 X. Li et al. 10.1029/2021JD035546
14. Simulation of Stratospheric Processes with the SLAV072L96 Atmospheric General Circulation Model V. Shashkin et al. 10.3103/S1068373923060018
15. The Roles of Off-Equatorial Subsurface Cold-Water Incursions in Triggering the Second-Year Cooling of the La Niña Event in 2021 C. Song et al. 10.3390/jmse10111667
16. Response of Eurasian Temperature to Barents–Kara Sea Ice: Evaluation by Multi‐Model Seasonal Predictions K. Komatsu et al. 10.1029/2021GL097203
17. Added value of seasonal hindcasts to create UK hydrological drought storylines W. Chan et al. 10.5194/nhess-24-1065-2024
18. Seasonal prediction of European summer heatwaves C. Prodhomme et al. 10.1007/s00382-021-05828-3
19. Recent changes in circulation patterns and their opposing impact on extreme precipitation at the west coast of Norway K. Ødemark et al. 10.1016/j.wace.2022.100530
20. Hydrological regimes explain the seasonal predictability of streamflow extremes Y. Du et al. 10.1088/1748-9326/acf678
21. Deep Learning for Predicting Winter Temperature in North China L. Gao et al. 10.3390/atmos13050702
22. Twinning SENAMHI and MeteoSwiss to co-develop climate services for the agricultural sector in Peru S. Gubler et al. 10.1016/j.cliser.2020.100195
23. Seasonal Predictability of Global and North American Coastal Sea Surface Temperature and Height Anomalies S. Shin & M. Newman 10.1029/2020GL091886
24. Long-range prediction and the stratosphere A. Scaife et al. 10.5194/acp-22-2601-2022
25. Predictability of China winter temperature under different intensities of La Niña events in seasonal climate forecast models Z. Guo et al. 10.1002/joc.7979
26. Downscaling of seasonal ensemble forecasts to the convection‐permitting scale over the Horn of Africa using the WRF model P. Mori et al. 10.1002/joc.6809
27. Seasonal forecast-informed reservoir operation. Potential benefits for a water-stressed Mediterranean basin N. Crippa et al. 10.1016/j.cliser.2023.100406
28. Earth Observation for agricultural drought monitoring in the Pannonian Basin (southeastern Europe): current state and future directions L. Crocetti et al. 10.1007/s10113-020-01710-w
29. Forecasting water temperature in lakes and reservoirs using seasonal climate prediction D. Mercado-Bettín et al. 10.1016/j.watres.2021.117286
30. Beyond skill scores: exploring sub‐seasonal forecast value through a case‐study of French month‐ahead energy prediction J. Dorrington et al. 10.1002/qj.3863
31. Interrogating Sea Ice Predictability With Gradients H. Joakimsen et al. 10.1109/LGRS.2024.3366308
32. Remote effects of Tibetan Plateau spring land temperature on global subseasonal to seasonal precipitation prediction and comparison with effects of sea surface temperature: the GEWEX/LS4P Phase I experiment Y. Xue et al. 10.1007/s00382-023-06905-5
33. Verification of Weather and Seasonal Forecast Information Concerning the Peri-Urban Farmers’ Needs in the Lower Ganges Delta in Bangladesh S. Paparrizos et al. 10.3390/atmos11101041
34. Dynamical mechanisms linking Indian monsoon precipitation and the circumglobal teleconnection J. Beverley et al. 10.1007/s00382-021-05825-6
35. Spatiotemporal Prediction of Monthly Sea Subsurface Temperature Fields Using a 3D U-Net-Based Model N. Sun et al. 10.3390/rs14194890
36. Estimating Probabilities of Extreme ENSO Events from Copernicus Seasonal Hindcasts W. Merryfield & W. Lee 10.1007/s13143-023-00328-2
37. Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes Z. Huang & T. Zhao 10.1002/wat2.1580
38. Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI M. Chantry et al. 10.1098/rsta.2020.0083
39. Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: A Summary of Advances Made in the SPICES Project by the EU’s Horizon 2020 Programme M. Mäkynen et al. 10.3390/rs12071214
40. Intraseasonal SST–precipitation relationship in a coupled reanalysis experiment using the MRI coupled atmosphere–ocean data assimilation system C. Kobayashi et al. 10.1007/s00382-020-05592-w
41. Forecast Families: A New Method to Systematically Evaluate the Benefits of Improving the Skill of an Existing Forecast C. Rougé et al. 10.1061/JWRMD5.WRENG-5934
42. A stratospheric prognostic ozone for seamless Earth system models: performance, impacts and future B. Monge-Sanz et al. 10.5194/acp-22-4277-2022
43. Statistical Seasonal Prediction of European Summer Mean Temperature Using Observational, Reanalysis, and Satellite Data M. Pyrina et al. 10.1175/WAF-D-20-0235.1
44. A Hidden Climate Indices Modeling Framework for Multivariable Space‐Time Data B. Renard et al. 10.1029/2021WR030007
45. Seasonal climate forecast can inform the European agricultural sector well in advance of harvesting A. Ceglar & A. Toreti 10.1038/s41612-021-00198-3
46. Seasonal forecasts of the Saharan heat low characteristics: a multi-model assessment C. Ngoungue Langue et al. 10.5194/wcd-2-893-2021
47. Playing the long game: Anticipatory action based on seasonal forecasts D. MacLeod et al. 10.1016/j.crm.2021.100375
48. Forecast skill of the Indian monsoon and its onset in the ECMWF seasonal forecasting system 5 (SEAS5) A. Chevuturi et al. 10.1007/s00382-020-05624-5
49. Detection of interannual ensemble forecast signals over the North Atlantic and Europe using atmospheric circulation regimes S. Falkena et al. 10.1002/qj.4213
50. Skill of rice yields forecasting over Mainland Southeast Asia using the ECMWF SEAS5 ensemble prediction system and the WOFOST crop model U. Wanthanaporn et al. 10.1016/j.agrformet.2024.110001
51. A skilful seasonal prediction for wintertime rainfall in southern Thailand Z. Dong et al. 10.1002/joc.7882
52. Seasonal Prediction of Tropical Cyclones over the North Atlantic and Western North Pacific D. Befort et al. 10.1175/JCLI-D-21-0041.1
53. Machine learning for numerical weather and climate modelling: a review C. de Burgh-Day & T. Leeuwenburg 10.5194/gmd-16-6433-2023
54. Forecasting annual maximum water level for the Negro River at Manaus using dynamical seasonal predictions A. Chevuturi et al. 10.1016/j.cliser.2023.100342
55. Flexible forecast presentation overcomes longstanding obstacles to using probabilistic seasonal forecasts J. Hansen et al. 10.3389/fclim.2022.908661
56. Developing models to establish seasonal forest fire early warning system D. Nuryanto et al. 10.1088/1755-1315/909/1/012005
57. Forecasting seasonal to sub-seasonal rainfall in Great Britain using convolutional-neural networks A. Barnes et al. 10.1007/s00704-022-04242-x
58. The Time-Scale-Dependent Response of the Wintertime North Atlantic to Increased Ocean Model Resolution in a Coupled Forecast Model C. Roberts et al. 10.1175/JCLI-D-19-0235.1
59. Boreal-winter teleconnections with tropical Indo-Pacific rainfall in HighResMIP historical simulations from the PRIMAVERA project F. Molteni et al. 10.1007/s00382-020-05358-4
60. Examining the Role of the Main Terrestrial Factors Won the Seasonal Distribution of Atmospheric Carbon Dioxide Concentration over Iran S. Mousavi et al. 10.1007/s12524-022-01650-4
61. Understanding sources of Northern Hemisphere uncertainty and forecast error in a medium‐range coupled ensemble sea‐ice prediction system K. Peterson et al. 10.1002/qj.4340
62. Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat‐2 Sea Ice Thickness Observations Y. Zhang et al. 10.1029/2023GL105672
63. Co-production pathway of an end-to-end climate service for improved decision-making in the wine sector M. Terrado et al. 10.1016/j.cliser.2023.100347
64. Evaluation and validation of TAMSAT‐ALERT soil moisture and WRSI for use in drought anticipatory action V. Boult et al. 10.1002/met.1959
65. Evaluation of Probabilistic Forecasts of Extreme Cold Events in S2S Models X. Liang et al. 10.3390/w15152795
66. A seamless filter for daily to seasonal forecasts, with applications to Iran and Brazil G. Bürger 10.1002/qj.3670
67. The importance of North Atlantic Ocean transports for seasonal forecasts S. Tietsche et al. 10.1007/s00382-020-05364-6
68. Year-round impact of winter sea ice thickness observations on seasonal forecasts B. Balan-Sarojini et al. 10.5194/tc-15-325-2021
69. Global seasonal prediction of fire danger F. Di Giuseppe et al. 10.1038/s41597-024-02948-3
70. Copernicus Ocean State Report, issue 6 10.1080/1755876X.2022.2095169
71. Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al. 10.5194/hess-25-1189-2021
72. Validation metrics for ice edge position forecasts A. Melsom et al. 10.5194/os-15-615-2019
73. Evaluation of Earth Observations and In Situ Data Assimilation for Seasonal Hydrological Forecasting J. Musuuza et al. 10.1029/2022WR033655
74. Seasonal forecasting of mussel aquaculture meat yield in the Pelorus Sound N. Rampal et al. 10.3389/fmars.2023.1195921
75. Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model S. Ghimire et al. 10.1016/j.susmat.2022.e00429
76. Should Sea-Ice Modeling Tools Designed for Climate Research Be Used for Short-Term Forecasting? E. Hunke et al. 10.1007/s40641-020-00162-y
77. Rapid Development of Systematic ENSO‐Related Seasonal Forecast Errors J. Beverley et al. 10.1029/2022GL102249
78. When and where do ECMWF seasonal forecast systems exhibit anomalously low signal‐to‐noise ratio? A. Charlton‐Perez et al. 10.1002/qj.3631
79. Lead time and skill of Australian wheat yield forecasts based on ENSO-analogue or GCM-derived seasonal climate forecasts – A comparative analysis A. Potgieter et al. 10.1016/j.agrformet.2022.109116
80. Temperature and precipitation seasonal forecasts over the Mediterranean region: added value compared to simple forecasting methods F. Calì Quaglia et al. 10.1007/s00382-021-05895-6
81. Diverse Surface Signatures of Stratospheric Polar Vortex Anomalies E. Kolstad et al. 10.1029/2022JD037422
82. Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al. 10.1016/j.jhydrol.2023.129607
83. Skillful Seasonal Forecast of Sargassum Proliferation in the Tropical Atlantic J. Jouanno et al. 10.1029/2023GL105545
84. The Prediction of the Tibetan Plateau Thermal Condition with Machine Learning and Shapley Additive Explanation Y. Tang et al. 10.3390/rs14174169
85. Hydrological drought forecasts using precipitation data depend on catchment properties and human activities S. Sutanto et al. 10.1038/s43247-024-01295-w
86. Summer predictions of Arctic sea ice edge in multi-model seasonal re-forecasts L. Batté et al. 10.1007/s00382-020-05273-8
87. Missing eddy feedback may explain weak signal-to-noise ratios in climate predictions S. Hardiman et al. 10.1038/s41612-022-00280-4
88. Seasonal prediction of Horn of Africa long rains using machine learning: The pitfalls of preselecting correlated predictors V. Deman et al. 10.3389/frwa.2022.1053020
89. Representing Model Uncertainty in Multiannual Predictions D. Befort et al. 10.1029/2020GL090059
90. Evaluation of ECMWF-SEAS5 Seasonal Temperature and Precipitation Predictions over South America G. Ferreira et al. 10.3390/cli10090128
91. Unfolding the relationship between seasonal forecast skill and value in hydropower production: a global analysis D. Lee et al. 10.5194/hess-26-2431-2022
92. Snow Representation over Siberia in Operational Seasonal Forecasting Systems D. Risto et al. 10.3390/atmos13071002
93. Predictability of marine heatwaves: assessment based on the ECMWF seasonal forecast system E. de Boisséson & M. Balmaseda 10.5194/os-20-265-2024
94. A new approach of coupled long-range forecasts for streamflow and groundwater level D. Robertson et al. 10.1016/j.jhydrol.2024.130837
95. Revealing trends in extreme heatwave intensity: applying the UNSEEN approach to Nordic countries S. Berghald et al. 10.1088/1748-9326/ad2893
96. A Spatiotemporal Multiscale Deep Learning Model for Subseasonal Prediction of Arctic Sea Ice Q. Zheng et al. 10.1109/TGRS.2024.3355238
97. A Two‐Stage Framework for Bias and Reliability Tests of Ensemble Hydroclimatic Forecasts T. Zhao et al. 10.1029/2022WR032568
98. Advanced seasonal predictions for vine management based on bioclimatic indicators tailored to the wine sector C. Chou et al. 10.1016/j.cliser.2023.100343
99. Smart Climate Hydropower Tool: A Machine-Learning Seasonal Forecasting Climate Service to Support Cost–Benefit Analysis of Reservoir Management A. Essenfelder et al. 10.3390/atmos11121305
100. Seasonal predictability of Mediterranean weather regimes in the Copernicus C3S systems I. Giuntoli et al. 10.1007/s00382-021-05681-4
101. Using probabilistic machine learning to better model temporal patterns in parameterizations: a case study with the Lorenz 96 model R. Parthipan et al. 10.5194/gmd-16-4501-2023
102. Evaluating prospects for subseasonal-to-seasonal forecast-based anticipatory action from a global perspective J. Lala et al. 10.1016/j.wace.2022.100510
103. Seasonal streamflow forecasting in South America’s largest rivers I. Petry et al. 10.1016/j.ejrh.2023.101487
104. A New Approach to Skillful Seasonal Prediction of Southeast Asia Tropical Cyclone Occurrence X. Feng et al. 10.1029/2022JD036439
105. Defining El Niño indices in a warming climate G. van Oldenborgh et al. 10.1088/1748-9326/abe9ed
106. Fuzzy Postprocessing to Advance the Quality of Continental Seasonal Hydrological Forecasts for River Basin Management H. Macian-Sorribes et al. 10.1175/JHM-D-19-0266.1
107. Assessment of the FIO-CPS v2.0 in predicting 2-meter air temperature over China Q. Fu et al. 10.1016/j.dynatmoce.2023.101391
108. Forecasts of ENSO evolution using spatial–temporal projection model X. Pan et al. 10.1002/joc.6581
109. An Intercomparison of Verification Scores for Evaluating the Sea Ice Edge Position in Seasonal Forecasts C. Palerme et al. 10.1029/2019GL082482
110. Predictability of European winter 2019/20: Indian Ocean dipole impacts on the NAO S. Hardiman et al. 10.1002/asl.1005
111. Link Between Autumnal Arctic Sea Ice and Northern Hemisphere Winter Forecast Skill J. Acosta Navarro et al. 10.1029/2019GL086753
112. JRA55 is the best reanalysis representing observed near-surface wind speeds over India A. Das & S. Baidya Roy 10.1016/j.atmosres.2023.107111
113. Seasonal fire danger forecasts for supporting fire prevention management in an eastern Mediterranean environment: the case of Attica, Greece A. Karali et al. 10.5194/nhess-23-429-2023
114. Seasonal prediction skills in the CAMS-CSM climate forecast system B. Liu et al. 10.1007/s00382-021-05848-z
115. A Novel Bias Correction Method for Extreme Events L. Trentini et al. 10.3390/cli11010003
116. Predictable decadal forcing of the North Atlantic jet speed by sub-polar North Atlantic sea surface temperatures K. Strommen et al. 10.5194/wcd-4-853-2023
117. Subseasonal predictions for climate services, a recipe for operational implementation A. Manrique-Suñén et al. 10.1016/j.cliser.2023.100359
118. Evaluation of a New Precipitation-Based Index for Global Seasonal Forecasting of Unusually Wet and Dry Periods C. Lavaysse et al. 10.1175/WAF-D-19-0196.1
119. Operational low-flow forecasting using LSTMs J. Deng et al. 10.3389/frwa.2023.1332678
120. Variation in precipitation over Songhua River Basin and its relationship with north Tropical Atlantic sea surface temperature anomalies during boreal spring C. Chen et al. 10.1007/s00704-022-03942-8
121. Using Convolutional Neural Network to Emulate Seasonal Tropical Cyclone Activity D. Fu et al. 10.1029/2022MS003596
122. Potential for surprising heat and drought events in wheat-producing regions of USA and China E. Coughlan de Perez et al. 10.1038/s41612-023-00361-y
123. Detecting the State of the Climate System via Artificial Intelligence to Improve Seasonal Forecasts and Inform Reservoir Operations M. Giuliani et al. 10.1029/2019WR025035
124. ProbFire: a probabilistic fire early warning system for Indonesia T. Nikonovas et al. 10.5194/nhess-22-303-2022
125. Variability of ENSO Forecast Skill in 2‐Year Global Reforecasts Over the 20th Century A. Weisheimer et al. 10.1029/2022GL097885
126. Deep Learning for Seasonal Prediction of Summer Precipitation Levels in Eastern China P. Lu et al. 10.1029/2023EA003129
127. Seasonal ensemble forecasts for soil moisture, evapotranspiration and runoff across Australia E. Vogel et al. 10.1016/j.jhydrol.2021.126620
128. Seasonal prediction of Euro-Atlantic teleconnections from multiple systems L. Lledó et al. 10.1088/1748-9326/ab87d2
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130. Crop yield anomaly forecasting in the Pannonian basin using gradient boosting and its performance in years of severe drought E. Bueechi et al. 10.1016/j.agrformet.2023.109596
131. The suitability of a seasonal ensemble hybrid framework including data-driven approaches for hydrological forecasting S. Hauswirth et al. 10.5194/hess-27-501-2023
132. Windows of opportunity for predicting seasonal climate extremes highlighted by the Pakistan floods of 2022 N. Dunstone et al. 10.1038/s41467-023-42377-1
133. Daily reservoir inflow forecasting using weather forecast downscaling and rainfall-runoff modeling: Application to Urmia Lake basin, Iran A. Meydani et al. 10.1016/j.ejrh.2022.101228
134. Sectoral-based indices for creating future climate services 10.35614/ISSN-2341-6408-IK-2020-04-RL
135. Forecast skill of Bangladesh summer monsoon rainfall in C3S and NMME models after calibration M. Ehsan & B. Singh 10.1016/j.dynatmoce.2023.101410
136. Sources of skill in lake temperature, discharge and ice-off seasonal forecasting tools F. Clayer et al. 10.5194/hess-27-1361-2023
137. Hydrometeorological Insights into the Forecasting Performance of Multi-Source Weather over a Typical Hill-Karst Basin, Southwest China C. Mo et al. 10.3390/atmos15020236
138. Quantifying climate model representation of the wintertime Euro-Atlantic circulation using geopotential-jet regimes J. Dorrington et al. 10.5194/wcd-3-505-2022
139. Subselection of seasonal ensemble precipitation predictions for East Africa C. Heinrich‐Mertsching et al. 10.1002/qj.4525
140. APPLYING DEEP LEARNING WITH CMIP5 DATASET FOR MONTHLY RAINFALL PREDICTION IN THAILAND K. HASEGAWA & S. KANAE 10.2208/jscejhe.77.2_I_1207
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142. Probabilistic seasonal forecasts of North Atlantic atmospheric circulation using complex systems modelling and comparison with dynamical models Y. Sun et al. 10.1002/met.2178
143. Dynamical–statistical seasonal forecasts of winter and summer precipitation for the Island of Ireland S. Golian et al. 10.1002/joc.7557
144. Probabilistic Forecasts of Arctic Sea Ice Thickness P. Gao et al. 10.1007/s13253-021-00480-0
145. Probabilistic Evaluation of the Multicategory Seasonal Precipitation Re-Forecast Y. Xu 10.3390/meteorology1030016
146. CSIndicators: Get tailored climate indicators for applications in your sector N. Pérez-Zanón et al. 10.1016/j.cliser.2023.100393
147. Climate Change Fosters Competing Effects of Dynamics and Thermodynamics in Seasonal Predictability of Arctic Sea Ice I. Polyakov et al. 10.1175/JCLI-D-21-0463.1
148. Evaluation of surrogate flood models for the use in impact-based flood warning systems at national scale M. Mosimann et al. 10.1016/j.envsoft.2023.105936
149. Downscaling long lead time daily rainfall ensemble forecasts through deep learning H. Jin et al. 10.1007/s00477-023-02444-x
150. Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information N. Pérez-Zanón et al. 10.5194/gmd-15-6115-2022
151. Multi-decadal variation of ENSO forecast skill since the late 1800s J. Lou et al. 10.1038/s41612-023-00417-z
152. The German Climate Forecast System: GCFS K. Fröhlich et al. 10.1029/2020MS002101
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154. A New Methodology to Produce More Skillful United States Cool-Season Precipitation Forecasts M. Switanek & T. Hamill 10.1175/JHM-D-21-0235.1
155. Seasonal Predictability of the Winter North Atlantic Oscillation From a Jet Stream Perspective T. Parker et al. 10.1029/2019GL084402
156. Advances in the Definition of Needs and Specifications for a Climate Service Tool Aimed at Small Hydropower Plants’ Operation and Management E. Contreras et al. 10.3390/en13071827
157. Decadal climate predictions with the Canadian Earth System Model version 5 (CanESM5) R. Sospedra-Alfonso et al. 10.5194/gmd-14-6863-2021
158. The application of sub‐seasonal to seasonal (S2S) predictions for hydropower forecasting R. Graham et al. 10.1002/met.2047
159. Analysis of a Short-Term and a Seasonal Precipitation Forecast over Kenya S. Miller et al. 10.3390/atmos12111371
160. Evaluation of snow depth and snow cover over the Tibetan Plateau in global reanalyses using in situ and satellite remote sensing observations Y. Orsolini et al. 10.5194/tc-13-2221-2019
161. Improved intraseasonal variability in the initialization of SINTEX‐F2 using a spectral cumulus parameterization Y. Baba 10.1002/joc.7220
162. Reconstructing climate trends adds skills to seasonal reference crop evapotranspiration forecasting Q. Yang et al. 10.5194/hess-26-941-2022
163. ENSO analysis and prediction using deep learning: A review G. Wang et al. 10.1016/j.neucom.2022.11.078
164. A generative adversarial network–based unified model integrating bias correction and downscaling for global SST S. Yuan et al. 10.1016/j.aosl.2023.100407
165. Assimilation of FY-3D and FY-3E Hyperspectral Infrared Atmospheric Sounding Observation and Its Impact on Numerical Weather Prediction during Spring Season over the Continental United States Q. Zhang & M. Shao 10.3390/atmos14060967
166. Verification and Bias Adjustment of ECMWF SEAS5 Seasonal Forecasts over Europe for Climate Service Applications A. Crespi et al. 10.3390/cli9120181
167. Winter precipitation predictability in Central Southwest Asia and its representation in seasonal forecast systems M. Horan et al. 10.1038/s41612-024-00594-5
168. Decline in bulk deposition of air pollutants in China lags behind reductions in emissions Y. Zhao et al. 10.1038/s41561-022-00899-1
169. Impacts of snow assimilation on seasonal snow and meteorological forecasts for the Tibetan Plateau W. Li et al. 10.5194/tc-16-4985-2022
170. Climate change adaptation stories: Co-creating climate services with reindeer herders in Finland M. Terrado et al. 10.1016/j.scitotenv.2023.168520
171. Japan Meteorological Agency/Meteorological Research Institute Coupled Prediction System Version 3 (JMA/MRI–CPS3) S. HIRAHARA et al. 10.2151/jmsj.2023-009
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173. Assessment of ERA5-Land Data in Medium-Term Drinking Water Demand Modelling with Deep Learning P. Dhawan et al. 10.3390/w15081495
174. Sensitivity of Rainfall Extremes to Unprecedented Indian Ocean Dipole Events D. MacLeod et al. 10.1029/2023GL105258
175. The strong role of external forcing in seasonal forecasts of European summer temperature M. Patterson et al. 10.1088/1748-9326/ac9243
176. Urban resilience to extreme weather - Sub-seasonal and seasonal forecasts for winter maintenance activities in Helsinki 10.35614/ISSN-2341-6408-IK-2022-04-RL
177. Intraseasonal variations in winter surface air temperature over China and its prediction skill in ECMWF System5 T. Zheng et al. 10.1002/joc.8155
178. Techniques and skills of indigenous weather and seasonal climate forecast in Northern Ghana E. Nyadzi et al. 10.1080/17565529.2020.1831429
179. Development of seasonal climate outlooks for agriculture in Finland A. Vajda & O. Hyvärinen 10.5194/asr-17-269-2020
180. Using Selected Members of a Large Ensemble to Improve Prediction of Surface Air Temperature Anomalies Over Japan in the Winter Months From Mid-Autumn J. Ratnam et al. 10.3389/fclim.2022.919084
181. Deep Learning for Seasonal Precipitation Prediction over China W. Jin et al. 10.1007/s13351-022-1174-7
182. On the Reliability of Global Seasonal Forecasts: Sensitivity to Ensemble Size, Hindcast Length and Region Definition R. Manzanas et al. 10.1029/2021GL094662
183. Assessment of seasonal forecasting errors of the ECMWF system in the eastern Indian Ocean M. Mayer et al. 10.1007/s00382-023-06985-3
184. The Canadian Seasonal to Interannual Prediction System Version 2 (CanSIPSv2) H. Lin et al. 10.1175/WAF-D-19-0259.1
185. SEAS5 skilfully predicts late wet‐season precipitation in Central American Dry Corridor excelling in Costa Rica and Nicaragua K. Kowal et al. 10.1002/joc.7514
186. The predictability study of the two flavors of ENSO in the CESM model from 1881 to 2017 T. Liu et al. 10.1007/s00382-022-06269-2
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