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
  • WRF Model
  • Trend
  • Persian Gulf
  • Remote Sensing
  • evapotranspiration
  • Simulation
  • Trend Analysis
  • Mann-Kendall
  • MODIS
  • time series
  • maximum temperature
  • Minimum temperature
  • Oman Sea
  • Synoptic Analysis
  • Heat wave
  • Precipitation regime
  • Artificial Neural Network
  • Shiraz
  • wind speed
  • Persian Gulf
  • Air pollution
  • Rainfall
  • Strait of Hormuz
  • Tehran
  • Khuzestan Province
  • Snow cover
  • Soil temperature
  • Verification
  • Iran
  • mann-kendall test
  • Extreme precipitation
  • Salinity
  • Interpolation
  • Lorestan province
  • Heavy precipitation
  • forecast
  • Kurdistan province
  • spatial distribution
  • CMIP6
  • Meteorology
  • heavy rainfall
  • Density
  • Tehran Province
  • spatial analysis
  • visualization
  • Global warming
  • Fars province
  • WRF
  • Cluster analysis
  • Virtual Reality
  • Google Earth Engine
  • Regression Model
  • Extreme event
  • flood
  • statistical analysis
  • flood monitoring
  • Phenology
  • \"Climate change\"
  • Large-Scale Climatic Signals
  • Support Vector Machine
  • Kriging
  • Synoptic
  • regression analysis
  • Climate Classification
  • Seasonal Index
  • ArcGIS
  • Sodar
  • numerical simulation
  • Gorgan
  • Classification
  • Vegetation cover
  • SWAN model
  • Extreme indices
  • Man kendall
  • 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
  • SPEI
  • Regression
  • Interpolation methods
  • Aqua Satellite
  • southern coasts of Iran
  • Ardebil
  • hail
  • meteorological drought
  • SST
  • Zanjan Province
  • Valiantzas method
  • Drought Indices
  • Climate Variability
  • 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
  • Spectral analysis
  • long term variations
  • Rainfed Wheat
  • Sentinel-1
  • Downscaling
  • Climatic zoning
  • Atmospheric pollutants
  • : Radiation
  • intensity of droughts
  • Mean Temperature
  • best-fit test
  • MIKE 21 SW numerical model
  • 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
  • Electrical conductivity
  • Spearman correlation and Zayandehroud Basin
  • Precipitations
  • Stratus and Convection Cloud
  • hazard vulnerability
  • knowledge and technology transfer
  • Precipitation anomaly
  • Urmia Lake
  • Tide Height
  • Priestley-Taylor method
  • Surface runoff
  • Hamoon Wetland
  • Flood Risk
  • Crop water requirement
  • Dust source
  • Mitigation
  • Terjung Index
  • SPI
  • the West Asia region
  • \"south of Kerman province\"
  • degree days
  • evaluation of accuracy
  • spin-out and spin-off companies
  • dry temperature
  • Droughts
  • Keywords: CMIP6
  • ROMS modeling
  • SMAP