Nivar

Nivar

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).

Keywords Cloud

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