60 citations as recorded by crossref.

1. High-resolution bias-corrected precipitation data over South Siberia, Russia N. Voropay et al.
2. Assessing the relative effectiveness of statistical downscaling and distribution mapping in reproducing rainfall statistics based on climate model results A. Langousis et al.
3. Copula-based modeling of dependence structure in geodesy and GNSS applications: case study for zenith tropospheric delay in complex terrain R. Mousavian et al.
4. Long-Term and High-Resolution Global Time Series of Brightness Temperature from Copula-Based Fusion of SMAP Enhanced and SMOS Data C. Lorenz et al.
5. A stepwise-clustered copula downscaling approach for ensemble analyses of discrete and interactive features in precipitation-extreme variations: a case study for eastern China B. Yu et al.
6. Two novel error-updating model frameworks for short-to-medium range streamflow forecasting using bias-corrected rainfall inputs: Development and comparative assessment A. Khatun et al.
7. Copula‐based downscaling of daily precipitation fields M. Lorenz et al.
8. Comparison of Three Techniques to Adjust Daily Precipitation Biases from Regional Climate Models over Germany C. Ibebuchi et al.
9. A Multivariate Quantile-Matching Bias Correction Approach with Auto- and Cross-Dependence across Multiple Time Scales: Implications for Downscaling R. Mehrotra & A. Sharma
10. Climate-induced hydrological impact mitigated by a high-density reservoir network in the Poyang Lake Basin N. Dong et al.
11. Bias correction of daily precipitation for ungauged locations using geostatistical approaches: A case study for the CORDEX‐Africa ensemble M. Lorenz et al.
12. A software toolkit for correcting systematic biases in climate model simulations R. Mehrotra et al.
13. Multivariate stochastic bias corrections with optimal transport Y. Robin et al.
14. Validation of Surface Temperature Derived From MERRA‐2 Reanalysis Against IMD Gridded Data Set Over India P. Gupta et al.
15. A parametric approach for simultaneous bias correction and high‐resolution downscaling of climate model rainfall A. Mamalakis et al.
16. A comparative study to determine the optimal copula model for the wind speed and precipitation of typhoons M. Um et al.
17. A new multi-site multi-variable stochastic model with inter-site and inter-variable correlations, low frequency attributes and stochasticity: A case study in the lower Yellow River basin Y. Wang et al.
18. Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling framework M. Ben Alaya et al.
19. Satellite-based streamflow simulation using CHIRPS satellite precipitation product in Shah Bahram Basin, Iran S. Mokhtari et al.
20. Spatiotemporal bias correction of satellite precipitation products using multimodel techniques over temporally coherent clusters in South Peninsular India S. M R et al.
21. Spatiotemporal variability and empirical Copula-based dependence structure of modeled and observed coupled water and energy fluxes M. Soltani et al.
22. Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges B. Haese et al.
23. Probable Maximum Precipitation: Its Estimation and Uncertainty Quantification Using Bivariate Extreme Value Analysis M. Ben Alaya et al.
24. Investigating statistical bias correction with temporal subsample of the upper Ping River Basin, Thailand S. Wuthiwongtyohtin
25. Copula-based interpolation methods for air temperature data using collocated covariates F. Alidoost et al.
26. Bias correction of precipitation through Singularity Stochastic Removal: Because occurrences matter M. Vrac et al.
27. Stepwise cluster ensemble downscaling for drought projection under climate change Y. Wen et al.
28. Revisiting model complexity: Space-time correction of high dimensional variable sets in climate model simulations C. Kusumastuti et al.
29. Impact of climate change on water resources of upper Kharun catchment in Chhattisgarh, India N. Kumar et al.
30. Physics-constrained deep learning bias correction of CMIP6 solar radiation over Africa and its implications for solar power planning in a changing climate P. Adigun et al.
31. Multivariate bias adjustment of high-dimensional climate simulations: the Rank Resampling for Distributions and Dependences (R2D2) bias correction M. Vrac
32. Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression R. Deo et al.
33. Adjusting climate model bias for agricultural impact assessment: How to cut the mustard S. Galmarini et al.
34. Bias Correction of Zero-Inflated RCM Precipitation Fields: A Copula-Based Scheme for Both Mean and Extreme Conditions R. Maity et al.
35. Correcting systematic bias in derived hydrologic simulations – Implications for climate change assessments A. Sharma et al.
36. A non-stationary bias adjustment method for improving the inter-annual variability and persistence of projected precipitation M. Cantalejo et al.
37. TIN‐Copula bias‐correction method for model‐derived maximum temperature in the MENA region G. Lazoglou et al.
38. Assessment of enhanced Kohonen self-organizing map, quantile mapping and copula-based bias-correction approaches for constructing basin-scale rainfall forecasts A. Khatun et al.
39. Bias correction of daily precipitation from climate models, using the Q‐GAM method G. Lazoglou et al.
40. Correcting systematic biases across multiple atmospheric variables in the frequency domain H. Nguyen et al.
41. Vine Copula Ensemble Downscaling for Precipitation Projection Over the Loess Plateau Based on High‐Resolution Multi‐RCM Outputs C. Sun et al.
42. Enhancing flash flood susceptibility modeling in arid regions: integrating digital soil mapping and machine learning algorithms Z. Sheikh et al.
43. Multivariate copula quantile mapping for bias correction of reanalysis air temperature data F. Alidoost et al.
44. Hydrologic Impacts of Surface Elevation and Spatial Resolution in Statistical Correction Approaches: Case Study of Flumendosa Basin, Italy E. Perra et al.
45. Technical note: Changes in cross- and auto-dependence structures in climate projections of daily precipitation and their sensitivity to outliers J. Hnilica et al.
46. Bias correction of daily precipitation over South Korea from the long-term reanalysis using a composite Gamma-Pareto distribution approach D. Kim et al.
47. Precipitation Bias Correction: A Novel Semi‐parametric Quantile Mapping Method C. Rajulapati & S. Papalexiou
48. Adapting rainfall bias-corrections to improve hydrological simulations generated from climate model forcings D. Robertson et al.
49. Deep-learning-based sub-seasonal precipitation and streamflow ensemble forecasting over the source region of the Yangtze River N. Dong et al.
50. Using a Groundwater Adjusted Water Balance Approach and Copulas to Evaluate Spatial Patterns and Dependence Structures in Remote Sensing Derived Evapotranspiration Products M. Soltani et al.
51. Gaussian Copula Method for Bias Correction of Daily Precipitation Generated by a Dynamical Model M. Kim et al.
52. Reanalysis Product-Based Nonstationary Frequency Analysis for Estimating Extreme Design Rainfall D. Kim et al.
53. The use of bivariate copulas for bias correction of reanalysis air temperature data F. Alidoost et al.
54. Estimating multisite precipitation by a stepwise NHMM-VAR model considering the spatiotemporal correlations of precipitation amounts X. Zha et al.
55. Seasonal Bias Correction of Daily Precipitation over France Using a Stitch Model Designed for Robust Representation of Extremes P. Ear et al.
56. Future high- and low-flow estimations for Central Vietnam: a hydro-meteorological modelling chain approach Q. Dang et al.
57. Bias Correction of Climate Model’s Precipitation Using the Copula Method and Its Application in River Basin Simulation G. Lazoglou et al.
58. Evaluation of a New Statistical Method—TIN-Copula–for the Bias Correction of Climate Models’ Extreme Parameters G. Lazoglou et al.
59. Precipitation-based climate change hotspots across India through a Multi-model assessment from CMIP6 S. Sarkar et al.
60. Bias Correction of Ocean Bottom Temperature and Salinity Simulations From a Regional Circulation Model Using Regression Kriging J. Chang et al.