nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Advancing parameter uncertainty quantification in hydrology models through integration of variational inference with a differentiable hydrology framework
|
V. Nguyen, Giang |
|
|
39 |
7 |
p. 2743-2768 |
artikel |
2 |
A long short-term memory model for sub-hourly temporal disaggregation of precipitation
|
Oates, Harrison |
|
|
39 |
7 |
p. 2859-2872 |
artikel |
3 |
A novel evaluation of farmland soil environmental risk integrating heavy metal(loid) pollution risk and industrial risk potential
|
Guan, Yang |
|
|
39 |
7 |
p. 3085-3102 |
artikel |
4 |
A novel probabilistic and metaheuristic approach for evaluation of CMIP6 models and bias corrected multimodel ensemble for future projection of temperature characteristics
|
Khalil, Rashida |
|
|
39 |
7 |
p. 3147-3171 |
artikel |
5 |
Combination of multivariate statistical analysis and inverse mixing modeling to unravel the solute sources and hydrological processes in a typical small urbanized watershed
|
Yang, Kunhua |
|
|
39 |
7 |
p. 3045-3062 |
artikel |
6 |
Comparison of deterministic, stochastic, and deterministic-stochastic coupling methods for characterizing heterogeneity of hydrofacies: a case study in Zhangji mining area, China
|
Qiu, Pengyu |
|
|
39 |
7 |
p. 2945-2961 |
artikel |
7 |
Conditional drought risk of rainfed wheat yield through copula analysis: comparison between two multiscalar drought indicators in the Tabriz region, Iran
|
Khaledi-Alamdari, Mohammad |
|
|
39 |
7 |
p. 2843-2857 |
artikel |
8 |
Cycleift: A deep transfer learning model based on informer with cycle fine-tuning for water quality prediction
|
Yu, Yang |
|
|
39 |
7 |
p. 2873-2885 |
artikel |
9 |
Design flood projections for ungauged catchments using updated unit hydrographs under climate change scenarios
|
Goel, Anubhav |
|
|
39 |
7 |
p. 2817-2842 |
artikel |
10 |
Determining the percentile threshold of daily extreme precipitation, methods evaluation
|
Ricetti, Lorenzo |
|
|
39 |
7 |
p. 2887-2902 |
artikel |
11 |
Enhancing flood susceptibility predictions by using certainty factor in non-flood selection: a case study of Guangdong Province with four tree-based machine learning models
|
Yang, Jian |
|
|
39 |
7 |
p. 3123-3146 |
artikel |
12 |
Enhancing sediment transport modeling with artificial intelligence (AI): a regional study in the Gheshlagh basin, Iran
|
Faghih, Homayoun |
|
|
39 |
7 |
p. 3005-3017 |
artikel |
13 |
Evaluation of NCUM-R 4DVAR assimilation technique’s performance on simulation of tropical cyclones over NIO region
|
Patel, Shivaji Singh |
|
|
39 |
7 |
p. 2903-2928 |
artikel |
14 |
Functional association measures among air quality index components
|
Fortuna, Francesca |
|
|
39 |
7 |
p. 3173-3186 |
artikel |
15 |
Index insurance for simultaneous flooding and drought risks with insufficient data: a two-step approach
|
Abrego-Pérez, Adriana L. |
|
|
39 |
7 |
p. 2769-2788 |
artikel |
16 |
Non-monotonic Gaussian transformation for multivariate regionalized data
|
Khorram, Farzaneh |
|
|
39 |
7 |
p. 3019-3043 |
artikel |
17 |
Non-stationary and multivariate spring floods estimation of the Saint John River (eastern Canada)
|
Yousfi, Nawres |
|
|
39 |
7 |
p. 3063-3084 |
artikel |
18 |
Persistent carbon budget imbalance in Hunan, China: spatiotemporal trends and regional disparities
|
Zhong, Qikang |
|
|
39 |
7 |
p. 2981-3004 |
artikel |
19 |
Robust storm surge forecasts for early warning system: a machine learning approach using Monte Carlo Bayesian model selection algorithm
|
Macdonald, E. |
|
|
39 |
7 |
p. 2789-2816 |
artikel |
20 |
Robust uncertainty analysis of a process-based model for runoff and soil erosion simulations using surrogate modeling: a synthetic study
|
Quang, Nguyen Hao |
|
|
39 |
7 |
p. 2929-2944 |
artikel |
21 |
Spatio-temporal pattern and convergence analysis of water pollution emission in Yangtze River Delta cities
|
Sun, Dongying |
|
|
39 |
7 |
p. 3103-3122 |
artikel |
22 |
Verification of probabilistic seasonal rainfall forecasts for Fiji Islands
|
Pratap, Arti |
|
|
39 |
7 |
p. 2963-2979 |
artikel |