Nivar

Nivar

Nivar

Journal Archive

A dedicated page for Newar has been created in Scopus for the concession holder of the Iranian Meteorological Organization. We congratulate the members of Nivar on this success.

https://www.scopus.com/sourceid/21101230596

Dear users, we would like to inform you that the scientific journal Nivar has achieved (international rank) in the latest evaluation published by the Scientific Publications Commission of the Ministry of Science, Research and Technology in 2023-2024.

“This journal is following of Committee on Publication Ethics (COPE) and complies with the highest ethical standards in accordance with ethical laws”.

In the evaluation of the Scientific Journals Commission of the Ministry of Science, Research in 1998,NIVAR Scientific Journal has obtained the score of 5.706 and rank (b) and in the latest evaluation of the Islamic World Science Citation Database (ISC), it has obtained a rank (Q2).

Most Visited Articles
Seasonal changes of physical properties along the length of Iranian Persian Gulf Waters
Spatial Analysis of Observed Precipitation in Fars Province and its Projection Using CanESM5 Climate Model Output
Revealing the Temporal-Spatial Changes of Autumn Rainfall in Iran Based on long-Term Statistics and Non-Parametric Tests
Spatio-Temporal Characteristics of Climatic Comfort Over Coastal Areas of Southern Iran
Analysis of Tourism Climate Indices of Khalkhal City and Their Impact on Ecotourism Planning
Developing an Integrated IoT-AI-Metaverse Framework for Transforming Water Governance in Iran
Determining the Flood Zone of Khordad 1402 in Ardabil Province with SAR Radar Data
Current Issue: Volume 50, 134-135 - Serial Number 134, September 2026, Pages 1-200 

Keywords Cloud

  • Precipitation
  • climate change
  • Temperature
  • Drought
  • Dust
  • Climate change
  • Trend
  • Iran
  • WRF Model
  • Persian Gulf
  • Remote Sensing
  • Trend Analysis
  • evapotranspiration
  • Simulation
  • MODIS
  • Mann-Kendall
  • time series
  • Minimum temperature
  • maximum temperature
  • Synoptic Analysis
  • Oman Sea
  • Verification
  • Extreme precipitation
  • Artificial Neural Network
  • Shiraz
  • Khuzestan Province
  • Iran
  • Strait of Hormuz
  • Persian Gulf
  • Salinity
  • wind speed
  • Tehran
  • Heat wave
  • Snow cover
  • Soil temperature
  • Rainfall
  • Precipitation regime
  • mann-kendall test
  • Air pollution
  • Heavy precipitation
  • Lorestan province
  • spatial analysis
  • Kurdistan province
  • spatial distribution
  • Meteorology
  • heavy rainfall
  • forecast
  • CMIP6
  • Density
  • Interpolation
  • Tehran Province
  • Google Earth Engine
  • visualization
  • Global warming
  • Fars province
  • WRF
  • Cluster analysis
  • Virtual Reality
  • sea surface temperature
  • Extreme event
  • Regression Model
  • flood
  • Synoptic
  • flood monitoring
  • Wind Energy
  • Regression
  • Support Vector Machine
  • Gulf of Oman
  • ARIMA
  • Zanjan Province
  • Gilan Province
  • regression analysis
  • Seasonal Index
  • Ensemble system
  • numerical simulation
  • Gorgan
  • Vegetation cover
  • Dust Storm
  • SWAN model
  • Extreme indices
  • Man kendall
  • Mass Transfer
  • LARS-WG
  • Climatology
  • Tourism comfort climate
  • Augmented reality
  • Agricultural drought
  • Climate Classification
  • Sodar
  • meteorological drought
  • Post-processing
  • Land surface Temperature
  • Instability indices
  • ArcGIS
  • Northwest Iran
  • Cold Wave
  • ANN
  • Classification
  • Meteorological data
  • Large-Scale Climatic Signals
  • SST
  • Lightning
  • Kriging
  • hail
  • Clausius-Clapeyron Equation
  • RCP Scenarios
  • Climate Variability
  • \"Climate change\"
  • SPEI
  • Aqua Satellite
  • southern coasts of Iran
  • Ardebil
  • Interpolation methods
  • FAO Penman-Monteith
  • Phenology
  • Valiantzas method
  • CMIP5
  • Drought Indices
  • statistical analysis
  • AOD
  • Northwest of Iran
  • Markov chain
  • Artificial Neural Networks
  • Net Irrigation Requirement
  • Ahvaz
  • soil moisture
  • Drought indicators
  • wind power
  • Advection Fog
  • PM2.5
  • Reference Evapotranspiration
  • Artificial intelligence
  • Sentinel 1
  • Radiation Fog
  • GIS
  • Kermanshah
  • \"Precipitation\"
  • rice
  • wind speed distribution
  • Zoning
  • long term variations
  • Spectral analysis
  • Rainfed Wheat
  • Sentinel-1
  • Downscaling
  • Climatic zoning
  • Atmospheric pollutants
  • : Radiation
  • MIKE 21 SW numerical model
  • Mean Temperature
  • best-fit test
  • intensity of droughts
  • Precipitation model
  • Annual Precipitation
  • Surface and deep layers
  • red tide
  • Sen`s slope
  • Mann-Kendal Test
  • TRMM
  • Keywords: Heat stress
  • Daily and Nightly Temperatures
  • Snow
  • Mangrove forests of Nayband Bay
  • cloud
  • mean zonal and meridional
  • ROMS model
  • Hadley cell
  • Parametric test
  • Lake Urmia Region
  • magnetism
  • s slope estimator, Pearson correlation, Linear regression
  • Spatiotemporal analysis
  • Actual Evapotranspiration
  • Priestley-Taylor method
  • Spearman correlation and Zayandehroud Basin
  • Precipitations
  • Stratus and Convection Cloud
  • hazard vulnerability
  • Hamoon Wetland
  • Precipitation anomaly
  • Urmia Lake
  • Tide Height
  • Electrical conductivity
  • Surface runoff
  • knowledge and technology transfer
  • Flood Risk
  • Crop water requirement
  • ROMS modeling
  • Dust source
  • :Mann-Kendall test
  • Terjung Index
  • evaluation of accuracy
  • \"south of Kerman province\"
  • degree days
  • the West Asia region
  • spin-out and spin-off companies
  • dry temperature
  • Droughts
  • Keywords: CMIP6
  • SPI