A5016556839- Climate variability and models
- Hydrology and Drought Analysis
- Climate change impacts on agriculture
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Precipitation Measurement and Analysis
- Hydrology and Watershed Management Studies
- Tree-ring climate responses
- Plant Ecology and Soil Science
- Cryospheric studies and observations
- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Tropical and Extratropical Cyclones Research
- Remote Sensing and Land Use
- Agricultural risk and resilience
- Geophysics and Gravity Measurements
- Atmospheric aerosols and clouds
- Space exploration and regulation
- Flood Risk Assessment and Management
- Ionosphere and magnetosphere dynamics
- Global Trade and Competitiveness
- GNSS positioning and interference
- Heavy Metals in Plants
- Climate Change and Sustainable Development
- Water resources management and optimization
Soil Conservation and Watershed Management Research
2014-2024
Agricultural Research & Education Organization
2017-2024
University of Lisbon
2012-2016
Management Research Institute
2008
University of Tehran
2005
Abstract. The spatial distribution of the seasonal and annual precipitation was analyzed in western Iran using data from 140 stations covering period 1965–2000. Applying Precipitation Concentration Index (PCI), intra-annual variability also studied. Furthermore, nine precipitation-derived parameters were used to regionalize climate principal component analysis clustering techniques. Results suggest that five spatially homogenous sub-regions can be identified characterized by different...
Abstract The relationships between large‐scale atmospheric circulation types and seasonal regimes of daily precipitation over Iran are assessed using from a high‐resolution gridded dataset provided by the Asian Precipitation‐Highly Resolved Observational Data Integration Towards Evaluation Water Resources (APHRODITE) Project. Regional spatial modes variability were identified S‐mode Principal Component Analysis (PCA) with Varimax rotation, applied to subset days when at least 10% all...
Abstract. The spatial variability of precipitation and drought are investigated for Portugal using monthly from 74 stations minimum maximum temperature 27 stations, covering the common period 1941–2006. Seasonal corresponding percentages in year, as well concentration index (PCI), was computed all then used an input matrix R-mode principal component analysis to identify patterns. standardized at 3 12 month time scales were whereas Palmer Drought Severity Index (PDSI) modified PDSI...
ABSTRACT Computing crop reference evapotranspiration ( ET o ) with the FAO Penman–Monteith method PM‐ET requires maximum and minimum air temperature, shortwave radiation, relative humidity wind speed. These data are often not available, thus requiring alternative computation procedures. Although some proposed approximations may provide values small estimation errors, physics of processes then be well described. The use reanalysis data, which is common in climate studies, represents an to...
ABSTRACT The relationship between daily large‐scale atmospheric circulation types (CTs) and wintertime precipitation over Iran during the period 1965–2000 is investigated. Twelve CTs identified in a previous study, which applied K‐means clustering technique to rotated principal components (RPCs) of 500 hPa geopotential height fields, are also considered this study. leading spatial modes variability extracted by PC analysis, with Varimax rotation, APHRODITE (Asian Precipitation‐Highly...
Abstract. Space-time variability of hydrological drought and wetness over Iran is investigated using the National Centers for Environmental Prediction/National Center Atmospheric Research (NCEP/NCAR) reanalysis Global Precipitation Climatology Centre (GPCC) dataset common period 1948–2007. The aim to complement previous studies on detection long-term trends in drought/wetness time series applicability data monitoring Iran. Climate conditions area are assessed through Standardized Index (SPI)...
Abstract Monthly precipitation time series of 46 synoptic stations distributed over diverse climates Iran were investigated to identify the best‐fitted probability distribution function (PDF) monthly aggregated at different timescales. The computed skewness and zero (PZP) values considered aggregations show that a large proportion data in study period, especially warm months year, is zero. all 12 individual as well their aggregation 3‐ 6‐months timescales also found very high many studied...