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
Detection of the Effect of Climate Change on the Mechanism of Heat Islands in Tehran Province
New Plan in Reforming and Presenting Iran's Climatic Classification System
Spatial Modeling of Airborne Particles (PM2.5 and PM10) in Tehran city Using Convolutional Neural Network.
Determining the Tourism Comfort Climate of the Mangrove Forests of Nayband ‎Bay Based on Baker and Terjong Indices
Analysis of the Role of Land use Change on the Flooding of Shahrokh Castle Catchment Area
Assesment the Trend of Climatic Changes in Neishabur Plain Based on Temperature and Precipitation Extreme Weather Index
Revealing the Temporal-Spatial Changes of Autumn Rainfall in Iran Based on long-Term Statistics and Non-Parametric Tests
Current Issue: Volume 50, 132-133 - Serial Number 132, March 2026, Pages 1-200 

Keywords Cloud

  • Precipitation
  • climate change
  • Temperature
  • Drought
  • Dust
  • Trend
  • WRF Model
  • Persian Gulf
  • Climate change
  • Iran
  • Remote Sensing
  • Trend Analysis
  • MODIS
  • evapotranspiration
  • Simulation
  • Mann-Kendall
  • Synoptic Analysis
  • Minimum temperature
  • time series
  • maximum temperature
  • Strait of Hormuz
  • Precipitation regime
  • mann-kendall test
  • Artificial Neural Network
  • Rainfall
  • Air pollution
  • Persian Gulf
  • Heat wave
  • Verification
  • Shiraz
  • Salinity
  • Iran
  • wind speed
  • Oman Sea
  • Snow cover
  • Tehran
  • Khuzestan Province
  • Soil temperature
  • Heavy precipitation
  • visualization
  • Fars province
  • Interpolation
  • Tehran Province
  • Meteorology
  • Density
  • CMIP6
  • Virtual Reality
  • forecast
  • Global warming
  • Google Earth Engine
  • spatial analysis
  • Lorestan province
  • heavy rainfall
  • Extreme precipitation
  • Cluster analysis
  • spatial distribution
  • Kurdistan province
  • Man kendall
  • Extreme indices
  • Kriging
  • regression analysis
  • ANN
  • Regression Model
  • Kermanshah
  • Markov chain
  • GIS
  • Classification
  • Gulf of Oman
  • Artificial Neural Networks
  • Regression
  • Instability indices
  • wind power
  • numerical simulation
  • Clausius-Clapeyron Equation
  • Cold Wave
  • Spectral analysis
  • Advection Fog
  • ARIMA
  • Climate Classification
  • soil moisture
  • Sentinel 1
  • flood monitoring
  • \"Precipitation\"
  • Agricultural drought
  • Net Irrigation Requirement
  • Ensemble system
  • Valiantzas method
  • Lightning
  • SWAN model
  • Wind Energy
  • Interpolation methods
  • Radiation Fog
  • Large-Scale Climatic Signals
  • Atmospheric pollutants
  • Sentinel-1
  • southern coasts of Iran
  • rice
  • SPEI
  • CMIP5
  • hail
  • Augmented reality
  • Land surface Temperature
  • Climatology
  • Gilan Province
  • Zanjan Province
  • Ardebil
  • Synoptic
  • Rainfed Wheat
  • \"Climate change\"
  • RCP Scenarios
  • LARS-WG
  • meteorological drought
  • SST
  • sea surface temperature
  • AOD
  • Drought indicators
  • Extreme event
  • Reference Evapotranspiration
  • Sodar
  • ArcGIS
  • wind speed distribution
  • Vegetation cover
  • long term variations
  • WRF
  • Northwest Iran
  • Phenology
  • statistical analysis
  • Support Vector Machine
  • Climatic zoning
  • Meteorological data
  • Northwest of Iran
  • Climate Variability
  • Artificial intelligence
  • Drought Indices
  • PM2.5
  • flood
  • Dust Storm
  • Aqua Satellite
  • Gorgan
  • Downscaling
  • Seasonal Index
  • Ahvaz
  • Post-processing
  • Tourism comfort climate
  • Detection
  • Public Relations
  • Zoning
  • West Azerbaijan
  • evaporation
  • Guilan province
  • Water potential
  • adaptation
  • Data mining
  • Natural resources
  • Sediment yield
  • COHERENS
  • Analysis
  • Chlorophyll
  • Coupling
  • Anzali
  • Bandar Abbas
  • Kashan
  • prediction
  • Stability
  • Hormozgan province
  • Ecotourism
  • oxidative stress
  • Forecasting
  • ARC GIS
  • Tehran Municipality
  • Persian
  • Electrical conductivity
  • Environmental
  • Time series forecasting
  • Climate Indices
  • Autocorrelation
  • Dust source
  • Correlation
  • Isfahan
  • Corridor
  • Public Participation
  • Clustering
  • Height
  • nonparametric test
  • Anomaly
  • land use
  • Tehran City
  • ANP
  • green space
  • thunderstorms
  • Water Resources Management
  • content analysis
  • Isfahan Province
  • Land Use Change
  • NDVI
  • Run theory
  • combination approach
  • Oil Pollution
  • Neural Networks
  • histogram