341 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. Assessments of Data-Driven Deep Learning Models on One-Month Predictions of Pan-Arctic Sea Ice Thickness C. Song et al. 10.1007/s00376-023-3259-3
14. A Historical Perspective of the La Niña Event in 2020/2021 X. Li et al. 10.1029/2021JD035546
15. Simulation of Stratospheric Processes with the SLAV072L96 Atmospheric General Circulation Model V. Shashkin et al. 10.3103/S1068373923060018
16. 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
17. Response of Eurasian Temperature to Barents–Kara Sea Ice: Evaluation by Multi‐Model Seasonal Predictions K. Komatsu et al. 10.1029/2021GL097203
18. Added value of seasonal hindcasts to create UK hydrological drought storylines W. Chan et al. 10.5194/nhess-24-1065-2024
19. Seasonal prediction of European summer heatwaves C. Prodhomme et al. 10.1007/s00382-021-05828-3
20. 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
21. Hydrological regimes explain the seasonal predictability of streamflow extremes Y. Du et al. 10.1088/1748-9326/acf678
22. Deep Learning for Predicting Winter Temperature in North China L. Gao et al. 10.3390/atmos13050702
23. 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
24. Seasonal Predictability of Global and North American Coastal Sea Surface Temperature and Height Anomalies S. Shin & M. Newman 10.1029/2020GL091886
25. Long-range prediction and the stratosphere A. Scaife et al. 10.5194/acp-22-2601-2022
26. 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
27. 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
28. Seasonal forecast-informed reservoir operation. Potential benefits for a water-stressed Mediterranean basin N. Crippa et al. 10.1016/j.cliser.2023.100406
29. Adaptive Graph Spatial-Temporal Attention Networks for long lead ENSO prediction C. Liang et al. 10.1016/j.eswa.2024.124492
30. 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
31. Forecasting water temperature in lakes and reservoirs using seasonal climate prediction D. Mercado-Bettín et al. 10.1016/j.watres.2021.117286
32. 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
33. Interrogating Sea Ice Predictability With Gradients H. Joakimsen et al. 10.1109/LGRS.2024.3366308
34. The role of upper-ocean heat content in the regional variability of Arctic sea ice at sub-seasonal timescales E. Bianco et al. 10.5194/tc-18-2357-2024
35. 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
36. 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
37. Dynamical mechanisms linking Indian monsoon precipitation and the circumglobal teleconnection J. Beverley et al. 10.1007/s00382-021-05825-6
38. Spatiotemporal Prediction of Monthly Sea Subsurface Temperature Fields Using a 3D U-Net-Based Model N. Sun et al. 10.3390/rs14194890
39. Estimating Probabilities of Extreme ENSO Events from Copernicus Seasonal Hindcasts W. Merryfield & W. Lee 10.1007/s13143-023-00328-2
40. Diagnosing Overlapping and Differing Information for SPEAR and CFSv2 Global Precipitation Forecasts H. Zhao & T. Zhao 10.34133/olar.0043
41. Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes Z. Huang & T. Zhao 10.1002/wat2.1580
42. 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
43. 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
44. 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
45. 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
46. A stratospheric prognostic ozone for seamless Earth system models: performance, impacts and future B. Monge-Sanz et al. 10.5194/acp-22-4277-2022
47. Peruvian North Coast Climate Variability and Regional Ocean–Atmosphere Forcing M. Jury & L. Alfaro-Garcia 10.3390/coasts4030026
48. 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
49. A Hidden Climate Indices Modeling Framework for Multivariable Space‐Time Data B. Renard et al. 10.1029/2021WR030007
50. Advancing annual global mean surface temperature prediction to 2 months lead using physics based strategy K. Li et al. 10.1038/s41612-024-00736-9
51. Seasonal climate forecast can inform the European agricultural sector well in advance of harvesting A. Ceglar & A. Toreti 10.1038/s41612-021-00198-3
52. Seasonal forecasts of the Saharan heat low characteristics: a multi-model assessment C. Ngoungue Langue et al. 10.5194/wcd-2-893-2021
53. Correction to: Near‑global summer circulation response to the spring surface temperature anomaly in Tibetan Plateau –– the GEWEX/LS4P first phase experiment Y. Zhang et al. 10.1007/s00382-024-07272-5
54. Playing the long game: Anticipatory action based on seasonal forecasts D. MacLeod et al. 10.1016/j.crm.2021.100375
55. Skill of seasonal flow forecasts at catchment scale: an assessment across South Korea Y. Lee et al. 10.5194/hess-28-3261-2024
56. Southern Hemisphere baroclinic activity in seasonal forecasts L. Trentini et al. 10.1007/s42865-024-00074-x
57. 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
58. Detection of interannual ensemble forecast signals over the North Atlantic and Europe using atmospheric circulation regimes S. Falkena et al. 10.1002/qj.4213
59. 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
60. A skilful seasonal prediction for wintertime rainfall in southern Thailand Z. Dong et al. 10.1002/joc.7882
61. Seasonal Prediction of Tropical Cyclones over the North Atlantic and Western North Pacific D. Befort et al. 10.1175/JCLI-D-21-0041.1
62. Machine learning for numerical weather and climate modelling: a review C. de Burgh-Day & T. Leeuwenburg 10.5194/gmd-16-6433-2023
63. 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
64. Flexible forecast presentation overcomes longstanding obstacles to using probabilistic seasonal forecasts J. Hansen et al. 10.3389/fclim.2022.908661
65. Developing models to establish seasonal forest fire early warning system D. Nuryanto et al. 10.1088/1755-1315/909/1/012005
66. Forecasting seasonal to sub-seasonal rainfall in Great Britain using convolutional-neural networks A. Barnes et al. 10.1007/s00704-022-04242-x
67. 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
68. 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
69. 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
70. Can teleconnections help to improve the seasonal prediction over the Southern African Development Community Region? C. Chou et al. 10.1016/j.scitotenv.2024.175397
71. 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
72. Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat‐2 Sea Ice Thickness Observations Y. Zhang et al. 10.1029/2023GL105672
73. Impact of the ocean in-situ observations on the ECMWF seasonal forecasting system M. Balmaseda et al. 10.3389/fmars.2024.1456013
74. 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
75. Evaluation and validation of TAMSAT‐ALERT soil moisture and WRSI for use in drought anticipatory action V. Boult et al. 10.1002/met.1959
76. Evaluation of Probabilistic Forecasts of Extreme Cold Events in S2S Models X. Liang et al. 10.3390/w15152795
77. A seamless filter for daily to seasonal forecasts, with applications to Iran and Brazil G. Bürger 10.1002/qj.3670
78. The importance of North Atlantic Ocean transports for seasonal forecasts S. Tietsche et al. 10.1007/s00382-020-05364-6
79. Year-round impact of winter sea ice thickness observations on seasonal forecasts B. Balan-Sarojini et al. 10.5194/tc-15-325-2021
80. Global seasonal prediction of fire danger F. Di Giuseppe et al. 10.1038/s41597-024-02948-3
81. Copernicus Ocean State Report, issue 6 10.1080/1755876X.2022.2095169
82. Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al. 10.5194/hess-25-1189-2021
83. Validation metrics for ice edge position forecasts A. Melsom et al. 10.5194/os-15-615-2019
84. Evaluation of Earth Observations and In Situ Data Assimilation for Seasonal Hydrological Forecasting J. Musuuza et al. 10.1029/2022WR033655
85. Seasonal forecasting of mussel aquaculture meat yield in the Pelorus Sound N. Rampal et al. 10.3389/fmars.2023.1195921
86. On-farm evaluation of a crop forecast-based approach for season-specific nitrogen application in winter wheat P. M. & M. A.M. 10.1007/s11119-024-10175-4
87. 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
88. 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
89. Rapid Development of Systematic ENSO‐Related Seasonal Forecast Errors J. Beverley et al. 10.1029/2022GL102249
90. Effects of extreme stratospheric polar vortex events on near-surface wind gusts across Europe E. Utrabo-Carazo et al. 10.1088/1748-9326/ad67f4
91. When and where do ECMWF seasonal forecast systems exhibit anomalously low signal‐to‐noise ratio? A. Charlton‐Perez et al. 10.1002/qj.3631
92. 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
93. 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
94. Diverse Surface Signatures of Stratospheric Polar Vortex Anomalies E. Kolstad et al. 10.1029/2022JD037422
95. Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al. 10.1016/j.jhydrol.2023.129607
96. Ensemble seasonal forecasting of typhoon frequency over the western North Pacific using multiple machine learning algorithms Z. Xiao et al. 10.1088/1748-9326/ad6f2c
97. Skillful Seasonal Forecast of Sargassum Proliferation in the Tropical Atlantic J. Jouanno et al. 10.1029/2023GL105545
98. The Prediction of the Tibetan Plateau Thermal Condition with Machine Learning and Shapley Additive Explanation Y. Tang et al. 10.3390/rs14174169
99. Hydrological drought forecasts using precipitation data depend on catchment properties and human activities S. Sutanto et al. 10.1038/s43247-024-01295-w
100. Summer predictions of Arctic sea ice edge in multi-model seasonal re-forecasts L. Batté et al. 10.1007/s00382-020-05273-8
101. Southern Ocean Ice Prediction System version 1.0 (SOIPS v1.0): description of the system and evaluation of synoptic-scale sea ice forecasts F. Zhao et al. 10.5194/gmd-17-6867-2024
102. Missing eddy feedback may explain weak signal-to-noise ratios in climate predictions S. Hardiman et al. 10.1038/s41612-022-00280-4
103. 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
104. Detectable use of ENSO information on crop production in Southern Africa E. Coughlan de Perez et al. 10.1016/j.cliser.2024.100514
105. Representing Model Uncertainty in Multiannual Predictions D. Befort et al. 10.1029/2020GL090059
106. Evaluation of ECMWF-SEAS5 Seasonal Temperature and Precipitation Predictions over South America G. Ferreira et al. 10.3390/cli10090128
107. 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
108. Snow Representation over Siberia in Operational Seasonal Forecasting Systems D. Risto et al. 10.3390/atmos13071002
109. Predictability of marine heatwaves: assessment based on the ECMWF seasonal forecast system E. de Boisséson & M. Balmaseda 10.5194/os-20-265-2024
110. A new approach of coupled long-range forecasts for streamflow and groundwater level D. Robertson et al. 10.1016/j.jhydrol.2024.130837
111. Drivers of the ECMWF SEAS5 seasonal forecast for the hot and dry European summer of 2022 M. Patterson et al. 10.1002/qj.4851
112. Revealing trends in extreme heatwave intensity: applying the UNSEEN approach to Nordic countries S. Berghald et al. 10.1088/1748-9326/ad2893
113. An Explainable Deep Learning Model for Daily Sea Ice Concentration Forecast Y. Li et al. 10.1109/TGRS.2024.3386930
114. A Spatiotemporal Multiscale Deep Learning Model for Subseasonal Prediction of Arctic Sea Ice Q. Zheng et al. 10.1109/TGRS.2024.3355238
115. A Two‐Stage Framework for Bias and Reliability Tests of Ensemble Hydroclimatic Forecasts T. Zhao et al. 10.1029/2022WR032568
116. 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
117. 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
118. Seasonal predictability of Mediterranean weather regimes in the Copernicus C3S systems I. Giuntoli et al. 10.1007/s00382-021-05681-4
119. 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
120. Evaluating prospects for subseasonal-to-seasonal forecast-based anticipatory action from a global perspective J. Lala et al. 10.1016/j.wace.2022.100510
121. Seasonal streamflow forecasting in South America’s largest rivers I. Petry et al. 10.1016/j.ejrh.2023.101487
122. Indian Ocean temperature anomalies predict long-term global dengue trends Y. Chen et al. 10.1126/science.adj4427
123. A New Approach to Skillful Seasonal Prediction of Southeast Asia Tropical Cyclone Occurrence X. Feng et al. 10.1029/2022JD036439
124. Defining El Niño indices in a warming climate G. van Oldenborgh et al. 10.1088/1748-9326/abe9ed
125. 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
126. 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
127. Forecasts of ENSO evolution using spatial–temporal projection model X. Pan et al. 10.1002/joc.6581
128. Forecasting the El Niño southern oscillation: physics, bias correction and combined models G. Reikard 10.1007/s00703-024-01038-8
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130. Predictability of European winter 2019/20: Indian Ocean dipole impacts on the NAO S. Hardiman et al. 10.1002/asl.1005
131. Link Between Autumnal Arctic Sea Ice and Northern Hemisphere Winter Forecast Skill J. Acosta Navarro et al. 10.1029/2019GL086753
132. JRA55 is the best reanalysis representing observed near-surface wind speeds over India A. Das & S. Baidya Roy 10.1016/j.atmosres.2023.107111
133. 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
134. Seasonal prediction skills in the CAMS-CSM climate forecast system B. Liu et al. 10.1007/s00382-021-05848-z
135. A Novel Bias Correction Method for Extreme Events L. Trentini et al. 10.3390/cli11010003
136. 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
137. Subseasonal predictions for climate services, a recipe for operational implementation A. Manrique-Suñén et al. 10.1016/j.cliser.2023.100359
138. 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
139. Operational low-flow forecasting using LSTMs J. Deng et al. 10.3389/frwa.2023.1332678
140. 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
141. Using Convolutional Neural Network to Emulate Seasonal Tropical Cyclone Activity D. Fu et al. 10.1029/2022MS003596
142. 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
143. 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
144. ProbFire: a probabilistic fire early warning system for Indonesia T. Nikonovas et al. 10.5194/nhess-22-303-2022
145. Variability of ENSO Forecast Skill in 2‐Year Global Reforecasts Over the 20th Century A. Weisheimer et al. 10.1029/2022GL097885
146. Deep Learning for Seasonal Prediction of Summer Precipitation Levels in Eastern China P. Lu et al. 10.1029/2023EA003129
147. Heatwave attribution based on reliable operational weather forecasts N. Leach et al. 10.1038/s41467-024-48280-7
148. Seasonal ensemble forecasts for soil moisture, evapotranspiration and runoff across Australia E. Vogel et al. 10.1016/j.jhydrol.2021.126620
149. Seasonal prediction of Euro-Atlantic teleconnections from multiple systems L. Lledó et al. 10.1088/1748-9326/ab87d2
150. Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach T. Boas et al. 10.5194/hess-27-3143-2023
151. 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
152. 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
153. 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
154. 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
155. Sectoral-based indices for creating future climate services 10.35614/10.35614/ISSN-2341-6408-IK-2020-04-RL
156. Forecast skill of Bangladesh summer monsoon rainfall in C3S and NMME models after calibration M. Ehsan & B. Singh 10.1016/j.dynatmoce.2023.101410
157. Sources of skill in lake temperature, discharge and ice-off seasonal forecasting tools F. Clayer et al. 10.5194/hess-27-1361-2023
158. 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
159. Quantifying climate model representation of the wintertime Euro-Atlantic circulation using geopotential-jet regimes J. Dorrington et al. 10.5194/wcd-3-505-2022
160. Subselection of seasonal ensemble precipitation predictions for East Africa C. Heinrich‐Mertsching et al. 10.1002/qj.4525
161. APPLYING DEEP LEARNING WITH CMIP5 DATASET FOR MONTHLY RAINFALL PREDICTION IN THAILAND K. HASEGAWA & S. KANAE 10.2208/jscejhe.77.2_I_1207
162. A multi‐model likelihood analysis of unprecedented extreme rainfall along the east coast of Australia D. Irving et al. 10.1002/met.2217
163. Clisagri: An R package for agro-climate services A. Ceglar et al. 10.1016/j.cliser.2020.100197
164. 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
165. Dynamical–statistical seasonal forecasts of winter and summer precipitation for the Island of Ireland S. Golian et al. 10.1002/joc.7557
166. Probabilistic Forecasts of Arctic Sea Ice Thickness P. Gao et al. 10.1007/s13253-021-00480-0
167. Probabilistic Evaluation of the Multicategory Seasonal Precipitation Re-Forecast Y. Xu 10.3390/meteorology1030016
168. CSIndicators: Get tailored climate indicators for applications in your sector N. Pérez-Zanón et al. 10.1016/j.cliser.2023.100393
169. 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
170. 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
171. Downscaling long lead time daily rainfall ensemble forecasts through deep learning H. Jin et al. 10.1007/s00477-023-02444-x
172. Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information N. Pérez-Zanón et al. 10.5194/gmd-15-6115-2022
173. Multi-decadal variation of ENSO forecast skill since the late 1800s J. Lou et al. 10.1038/s41612-023-00417-z
174. The German Climate Forecast System: GCFS K. Fröhlich et al. 10.1029/2020MS002101
175. Probabilistic predictions for meteorological droughts based on multi-initial conditions M. Torres-Vázquez et al. 10.1016/j.jhydrol.2024.131662
176. Improved Trend-Aware Postprocessing of GCM Seasonal Precipitation Forecasts 10.1175/JHM-D-21-0099.1
177. A New Methodology to Produce More Skillful United States Cool-Season Precipitation Forecasts M. Switanek & T. Hamill 10.1175/JHM-D-21-0235.1
178. Seasonal Predictability of the Winter North Atlantic Oscillation From a Jet Stream Perspective T. Parker et al. 10.1029/2019GL084402
179. 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
180. Improving Methodology for Tropical Cyclone Seasonal Forecasting in the Australian and the South Pacific Ocean Regions by Selecting and Averaging Models via Metropolis–Gibbs Sampling G. Qian et al. 10.3390/rs14225872
181. Decadal climate predictions with the Canadian Earth System Model version 5 (CanESM5) R. Sospedra-Alfonso et al. 10.5194/gmd-14-6863-2021
182. The application of sub‐seasonal to seasonal (S2S) predictions for hydropower forecasting R. Graham et al. 10.1002/met.2047
183. Analysis of a Short-Term and a Seasonal Precipitation Forecast over Kenya S. Miller et al. 10.3390/atmos12111371
184. 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
185. Improved intraseasonal variability in the initialization of SINTEX‐F2 using a spectral cumulus parameterization Y. Baba 10.1002/joc.7220
186. Reconstructing climate trends adds skills to seasonal reference crop evapotranspiration forecasting Q. Yang et al. 10.5194/hess-26-941-2022
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