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
  • Persian Gulf
  • Iran
  • Remote Sensing
  • MODIS
  • Mann-Kendall
  • evapotranspiration
  • Simulation
  • Trend Analysis
  • Iran
  • Oman Sea
  • time series
  • Minimum temperature
  • Synoptic Analysis
  • maximum temperature
  • Air pollution
  • Rainfall
  • Shiraz
  • Heat wave
  • Tehran
  • Precipitation regime
  • Soil temperature
  • wind speed
  • Khuzestan Province
  • Snow cover
  • Verification
  • Strait of Hormuz
  • Persian Gulf
  • mann-kendall test
  • Salinity
  • Artificial Neural Network
  • Tehran Province
  • Google Earth Engine
  • CMIP6
  • Kurdistan province
  • spatial distribution
  • heavy rainfall
  • Meteorology
  • Density
  • forecast
  • Cluster analysis
  • WRF
  • Lorestan province
  • Global warming
  • Virtual Reality
  • visualization
  • spatial analysis
  • Fars province
  • Interpolation
  • Heavy precipitation
  • Extreme precipitation
  • sea surface temperature
  • Downscaling
  • Artificial intelligence
  • Drought Indices
  • AOD
  • Drought indicators
  • flood monitoring
  • Valiantzas method
  • Interpolation methods
  • FAO Penman-Monteith
  • Clausius-Clapeyron Equation
  • RCP Scenarios
  • Phenology
  • Northwest Iran
  • Cold Wave
  • Sodar
  • Instability indices
  • Vegetation cover
  • Man kendall
  • numerical simulation
  • Gorgan
  • Classification
  • Dust Storm
  • ANN
  • SWAN model
  • Ensemble system
  • LARS-WG
  • Tourism comfort climate
  • Post-processing
  • Augmented reality
  • regression analysis
  • Agricultural drought
  • Land surface Temperature
  • Climatology
  • Extreme indices
  • ArcGIS
  • Climate Classification
  • Mass Transfer
  • Meteorological data
  • Lightning
  • Large-Scale Climatic Signals
  • meteorological drought
  • ARIMA
  • Seasonal Index
  • Kriging
  • SST
  • Gulf of Oman
  • hail
  • Climate Variability
  • CMIP5
  • Gilan Province
  • southern coasts of Iran
  • Aqua Satellite
  • Synoptic
  • \"Climate change\"
  • Support Vector Machine
  • Net Irrigation Requirement
  • Wind Energy
  • SPEI
  • Regression
  • Zanjan Province
  • flood
  • Extreme event
  • Regression Model
  • Northwest of Iran
  • statistical analysis
  • Artificial Neural Networks
  • Markov chain
  • Reference Evapotranspiration
  • Advection Fog
  • wind power
  • soil moisture
  • Ardebil
  • long term variations
  • Sentinel 1
  • Radiation Fog
  • GIS
  • Spectral analysis
  • \"Precipitation\"
  • rice
  • Rainfed Wheat
  • Sentinel-1
  • wind speed distribution
  • Climatic zoning
  • Atmospheric pollutants
  • Kermanshah
  • PM2.5
  • Ahvaz
  • climate norml period
  • Trend of dry farming wheat
  • \" waves\"
  • intensity of droughts
  • : Radiation
  • Mean Temperature
  • MIKE 21 SW numerical model
  • best-fit test
  • Annual Precipitation
  • TRMM
  • Precipitation model
  • Daily and Nightly Temperatures
  • Surface and deep layers
  • Sen`s slope
  • red tide
  • Mann-Kendal Test
  • Mangrove forests of Nayband Bay
  • cloud
  • Keywords: Heat stress
  • Snow
  • mean zonal and meridional
  • Hadley cell
  • ROMS model
  • Parametric test
  • magnetism
  • Spearman correlation and Zayandehroud Basin
  • Precipitations
  • Lake Urmia Region
  • s slope estimator, Pearson correlation, Linear regression
  • Actual Evapotranspiration
  • Spatiotemporal analysis
  • hazard vulnerability
  • Tide Height
  • Priestley-Taylor method
  • Stratus and Convection Cloud
  • Precipitation anomaly
  • knowledge and technology transfer
  • Urmia Lake
  • Surface runoff
  • Hamoon Wetland
  • Electrical conductivity
  • :Mann-Kendall test
  • Crop water requirement
  • SPI
  • s slope
  • Terjung Index
  • Dust source
  • Forecasting
  • Chlorophyll
  • evaluation of accuracy
  • the West Asia region
  • \"south of Kerman province\"
  • ROMS modeling
  • spin-out and spin-off companies