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
  • Trend
  • WRF Model
  • Persian Gulf
  • Iran
  • Remote Sensing
  • Trend Analysis
  • Mann-Kendall
  • evapotranspiration
  • Simulation
  • MODIS
  • maximum temperature
  • Minimum temperature
  • time series
  • Synoptic Analysis
  • Oman Sea
  • Khuzestan Province
  • Precipitation regime
  • Shiraz
  • Snow cover
  • Strait of Hormuz
  • wind speed
  • Heat wave
  • Tehran
  • Rainfall
  • Soil temperature
  • Iran
  • Verification
  • mann-kendall test
  • Artificial Neural Network
  • Salinity
  • Air pollution
  • Persian Gulf
  • Tehran Province
  • Lorestan province
  • Heavy precipitation
  • Global warming
  • CMIP6
  • Extreme precipitation
  • Kurdistan province
  • Meteorology
  • spatial distribution
  • heavy rainfall
  • forecast
  • WRF
  • Interpolation
  • visualization
  • Virtual Reality
  • spatial analysis
  • Google Earth Engine
  • Fars province
  • Cluster analysis
  • Density
  • Zanjan Province
  • Northwest of Iran
  • Drought Indices
  • Extreme event
  • SPEI
  • Wind Energy
  • Regression
  • Large-Scale Climatic Signals
  • Gulf of Oman
  • Clausius-Clapeyron Equation
  • Synoptic
  • Gilan Province
  • Land surface Temperature
  • regression analysis
  • Seasonal Index
  • Ensemble system
  • numerical simulation
  • Dust Storm
  • Vegetation cover
  • Gorgan
  • SWAN model
  • Extreme indices
  • Man kendall
  • Mass Transfer
  • soil moisture
  • LARS-WG
  • Instability indices
  • Tourism comfort climate
  • Augmented reality
  • Agricultural drought
  • Climate Classification
  • Sodar
  • Post-processing
  • Climatology
  • Support Vector Machine
  • ArcGIS
  • Northwest Iran
  • Cold Wave
  • ANN
  • Classification
  • Meteorological data
  • Lightning
  • SST
  • RCP Scenarios
  • Kriging
  • CMIP5
  • flood monitoring
  • ARIMA
  • Climate Variability
  • \"Climate change\"
  • Interpolation methods
  • Aqua Satellite
  • Ardebil
  • southern coasts of Iran
  • hail
  • FAO Penman-Monteith
  • Phenology
  • Valiantzas method
  • meteorological drought
  • flood
  • Regression Model
  • statistical analysis
  • sea surface temperature
  • Markov chain
  • Artificial Neural Networks
  • AOD
  • Ahvaz
  • wind power
  • Drought indicators
  • Advection Fog
  • long term variations
  • Reference Evapotranspiration
  • Artificial intelligence
  • Net Irrigation Requirement
  • Sentinel 1
  • GIS
  • Kermanshah
  • Radiation Fog
  • rice
  • Zoning
  • wind speed distribution
  • \"Precipitation\"
  • Spectral analysis
  • Rainfed Wheat
  • Sentinel-1
  • Downscaling
  • Climatic zoning
  • Atmospheric pollutants
  • PM2.5
  • \'Temperature prediction\'
  • 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
  • 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
  • Priestley-Taylor method
  • Spearman correlation and Zayandehroud Basin
  • Precipitations
  • hazard vulnerability
  • Stratus and Convection Cloud
  • Tide Height
  • Precipitation anomaly
  • Urmia Lake
  • knowledge and technology transfer
  • Electrical conductivity
  • Surface runoff
  • Hamoon Wetland
  • Flood Risk
  • Crop water requirement
  • Dust source
  • Mitigation
  • Terjung Index
  • ROMS modeling
  • evaluation of accuracy
  • \"south of Kerman province\"
  • degree days
  • spin-out and spin-off companies
  • Droughts
  • dry temperature
  • Keywords: CMIP6
  • SMAP
  • SPI