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
Spatio-Temporal Characteristics of Climatic Comfort Over Coastal Areas of Southern Iran
Revealing the Temporal-Spatial Changes of Autumn Rainfall in Iran Based on long-Term Statistics and Non-Parametric Tests
Investigating the role of Neka Power Plant in the emission of atmospheric pollutants using remote sensing data
Analysis of Tourism Climate Indices of Khalkhal City and Their Impact on Ecotourism Planning
Investigating the Relationship Between Sunspots and Annual Precipitation in the Khorasan Region (1986-2018)
Developing an Integrated IoT-AI-Metaverse Framework for Transforming Water Governance in Iran
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
  • Simulation
  • evapotranspiration
  • MODIS
  • Trend Analysis
  • Oman Sea
  • Mann-Kendall
  • Minimum temperature
  • time series
  • wind speed
  • maximum temperature
  • Synoptic Analysis
  • Precipitation regime
  • Rainfall
  • Shiraz
  • Strait of Hormuz
  • Persian Gulf
  • Extreme precipitation
  • Salinity
  • Tehran
  • Khuzestan Province
  • Snow cover
  • Soil temperature
  • Iran
  • mann-kendall test
  • Artificial Neural Network
  • Heat wave
  • Verification
  • Air pollution
  • Interpolation
  • Lorestan province
  • Heavy precipitation
  • forecast
  • Kurdistan province
  • Meteorology
  • CMIP6
  • spatial distribution
  • heavy rainfall
  • LARS-WG
  • 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
  • SPEI
  • 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
  • Land surface Temperature
  • Climatology
  • Gulf of Oman
  • Ensemble system
  • Agricultural drought
  • Post-processing
  • ANN
  • Dust Storm
  • Lightning
  • FAO Penman-Monteith
  • RCP Scenarios
  • Clausius-Clapeyron Equation
  • CMIP5
  • Wind Energy
  • ARIMA
  • Climate Variability
  • Regression
  • Interpolation methods
  • Aqua Satellite
  • southern coasts of Iran
  • Ardebil
  • hail
  • meteorological drought
  • SST
  • Zanjan Province
  • Valiantzas method
  • Drought Indices
  • flood monitoring
  • 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
  • Zoning
  • Atmospheric pollutants
  • Spectral analysis
  • long term variations
  • wind speed distribution
  • Rainfed Wheat
  • Downscaling
  • Climatic zoning
  • Sentinel-1
  • : Radiation
  • MIKE 21 SW numerical model
  • Mean Temperature
  • best-fit test
  • intensity of droughts
  • Precipitation model
  • Annual Precipitation
  • Surface and deep layers
  • TRMM
  • Sen`s slope
  • Mann-Kendal Test
  • red tide
  • 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
  • Spatiotemporal analysis
  • s slope estimator, Pearson correlation, Linear regression
  • Actual Evapotranspiration
  • Electrical conductivity
  • Spearman correlation and Zayandehroud Basin
  • Precipitations
  • hazard vulnerability
  • Stratus and Convection Cloud
  • Hamoon Wetland
  • Precipitation anomaly
  • Urmia Lake
  • knowledge and technology transfer
  • Priestley-Taylor method
  • Surface runoff
  • Tide Height
  • Flood Risk
  • Crop water requirement
  • Dust source
  • Mitigation
  • Terjung Index
  • SPI
  • evaluation of accuracy
  • \"south of Kerman province\"
  • ROMS modeling
  • the West Asia region
  • spin-out and spin-off companies
  • dry temperature
  • Droughts
  • Keywords: CMIP6
  • degree days
  • SMAP