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
Analysis Of Diurnal Temperature Range (DTR) Change in West Azerbaijan Province
Current Issue: Volume 50, 134-135 - Serial Number 134, September 2026, Pages 1-200 

Keywords Cloud

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