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