Stacking machine learning models versus a locally weighted linear model to generate high-resolution monthly precipitation over a topographically complex area O Zandi, B Zahraie, M Nasseri, A Behrangi Atmospheric Research 272, 106159, 2022 | 34 | 2022 |
A Locally Weighted Linear Ridge Regression Framework for Spatial Interpolation of Monthly Precipitation over an Orographically Complex Area O Zandi, M Nasseri, B Zahraie International Journal of Climatology, 2023 | 8 | 2023 |
Spatiotemporal modeling of PM10 via committee method with in-situ and large scale information: Coupling of machine learning and statistical methods Y Mohammadi, O Zandi, M Nasseri, Y Rashidi Urban Climate 49, 101494, 2023 | 2 | 2023 |
Spatial Estimation of Precipitation Based on Spatial Characteristics and PRISM Framework in Sefidroud Basin O Zandi, B Zahraie, M Nasseri Iran-Water Resources Research 16 (4), 268-283, 2021 | 1 | 2021 |
Triple coupling random forest approach for bias correction of ensemble precipitation data derived from Earth system models for Divandareh‐Bijar Basin (Western Iran) F Zebarjadian, N Dolatabadi, B Zahraie, H Yousefi Sohi, O Zandi International Journal of Climatology, 2024 | | 2024 |
Developing a Novel Long-Term ML-based Precipitation Product from AVHRR in High Latitudes Using Various Observational Datasets and Auxiliary Variables from Reanalysis O Zandi, KK Kumah, A Behrangi AGU23, 2023 | | 2023 |
Developing a Spatial Dataset of Monthly and Annual Precipitation with Acceptable Resolution Appropriate for Water Balance Modeling over Iran O Zandi, B Zahraie, M Nasseri National Conference on Applied Solutions for Technical Issues in Water …, 2022 | | 2022 |
Proposing a framework to spatial simulation of PM10 via MODIS products: Case Study of Tehran Y Mohammadi, O Zandi, M Nasseri 9th National Conference on Air and Noise Management, 2022 | | 2022 |
Developing a Model Based on PRISM Approach for Spatial Interpolation of Precipitation in Tashk, Bakhtegan and Maharloo Watershed O Zandi, M Nasseri, B Zahraie 8th National Conference of Water Resources Management, 2021 | | 2021 |