Abolfazl Rezaei

Institute for Advanced Studies in Basic Sciences

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Azfar Hussain

Chinese Academy of Geological Sciences

Khalil Karami

Leipzig University

Simone Tilmes

NSF National Center for Atmospheric Research

Roland Bürgmann

University of California, Berkeley

Saba Ghotbi

University of Central Florida

Sayyed Mohammad Javad Mirzadeh

Shanghai Astronomical Observatory

Jinxing Zhou

Beijing Forestry University

Andreas Braun

University of Tübingen

Jianhua Cao

Chinese Academy of Geological Sciences

Estelle Chaussard

University of California, Berkeley

Cooperative Institutions

Institute for Advanced Studies in Basic Sciences

University of Tehran

Shiraz University

Chinese Academy of Sciences

Beijing Forestry University

State Forestry and Grassland Administration

University of Chinese Academy of Sciences

K.N.Toosi University of Technology

Karakoram International University

Chinese Academy of Geological Sciences

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Transition and Drivers of Elastic-Inelastic Deformation in the Abarkuh Plain from InSAR Multi-Sensor Time Series and Hydrogeological Data

Zenodo (CERN European Organization for Nuclear Research) (2022)

Sayyed Mohammad Javad Mirzadeh Shuanggen Jin Estelle Chaussard Roland Bürgmann Abolfazl Rezaei

This repository contains the datasets used in Mirzadeh et al., 2022. It includes three InSAR time-series datasets from the Envisat descending orbit, ALOS-1 ascending orbit, and Sentinel-1A in ascending and descending orbits, acquired over the Abarkuh Plain, Iran, as well as the geological map of the study area and the GNSS and hydrogeological data used in this research. Dataset 1: Envisat descending track 292 Date: 06 Oct 2003 - 05 Sep 2005 (12 acquisitions) Processor: ISCE/stripmapStack + MintPy Displacement time-series (in HDF-EOS5 format): timeseries_LOD_tropHgt_ramp_demErr.h5 Mean LOS Velocity (in HDF-EOS5 format): velocity.h5 Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5 Geometry (in HDF-EOS5 format): geometryRadar.h5 Dataset 2: ALOS-1 ascending track 569 Date: 06 Dec 2006 - 17 Dec 2010 (14 acquisitions) Processor: ISCE/stripmapStack + MintPy Displacement time-series (in HDF-EOS5 format): timeseries_ERA5_ramp_demErr.h5 Mean LOS Velocity (in HDF-EOS5 format): velocity.h5 Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5 Geometry (in HDF-EOS5 format): geometryRadar.h5 Dataset 2: Sentinel-1 ascending track 130 and descending track 137 Date: 14 Oct 2014 - 28 Mar 2020 (129 ascending acquisitions) + 27 Oct 2014 - 29 Mar 2020 (114 descending acquisitions) Processor: ISCE/topsStack + MintPy Displacement time-series (in HDF-EOS5 format): timeseries_ERA5_ramp_demErr.h5 Mean LOS Velocity (in HDF-EOS5 format): velocity.h5 Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5 Geometry (in HDF-EOS5 format): geometryRadar.h5 The time series and Mean LOS Velocity (MVL) products can be georeferenced and resampled using the makTempCoh and geometryRadar products and the MintPy commands/functions.

Coastal plain

10.5281/zenodo.7786448

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Citations (0)

Inelastic and elastic storage properties and daily hydraulic head estimates from continuous global positioning system (GPS) measurements in northern Iran

Hydrogeology Journal (2020)

Abolfazl Rezaei Zahra Mousavi Fatemeh Khorrami H. Nankali

Hydraulic head

Piezometer

Specific storage

10.1007/s10040-019-02092-y

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Citations (16)

Corrigendum to “Assessment of precipitation extremes and their association with NDVI, monsoon and oceanic indices over Pakistan” [Atmospheric Research 292 (2023) 106873]

Atmospheric Research (2023)

Azfar Hussain Ishtiaq Hussain Shaukat Ali Waheed Ullah Firdos Khan

10.1016/j.atmosres.2023.106973

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Citations (2)

Transition and Drivers of Elastic to Inelastic Deformation in the Abarkuh Plain from InSAR Multi-Sensor Time Series and Hydrogeological Data

Zenodo (CERN European Organization for Nuclear Research) (2022)

Sayyed Mohammad Javad Mirzadeh Shuanggen Jin Estelle Chaussard Roland Bürgmann Abolfazl Rezaei

This repository contains the datasets used in Mirzadeh et al., 2023. It includes three InSAR time-series datasets from the Envisat descending orbit, ALOS-1 ascending orbit, and Sentinel-1A in ascending and descending orbits, acquired over the Abarkuh Plain, Iran, as well as the geological map of the study area and the GNSS and hydrogeological data used in this research. Dataset 1: Envisat descending track 292 Date: 06 Oct 2003 - 05 Sep 2005 (12 acquisitions) Processor: ISCE/stripmapStack + MintPy Displacement time-series (in HDF-EOS5 format): timeseries_LOD_tropHgt_ramp_demErr.h5 Mean LOS Velocity (in HDF-EOS5 format): velocity.h5 Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5 Geometry (in HDF-EOS5 format): geometryRadar.h5 Dataset 2: ALOS-1 ascending track 569 Date: 06 Dec 2006 - 17 Dec 2010 (14 acquisitions) Processor: ISCE/stripmapStack + MintPy Displacement time-series (in HDF-EOS5 format): timeseries_ERA5_ramp_demErr.h5 Mean LOS Velocity (in HDF-EOS5 format): velocity.h5 Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5 Geometry (in HDF-EOS5 format): geometryRadar.h5 Dataset 2: Sentinel-1 ascending track 130 and descending track 137 Date: 14 Oct 2014 - 28 Mar 2020 (129 ascending acquisitions) + 27 Oct 2014 - 29 Mar 2020 (114 descending acquisitions) Processor: ISCE/topsStack + MintPy Displacement time-series (in HDF-EOS5 format): timeseries_ERA5_ramp_demErr.h5 Mean LOS Velocity (in HDF-EOS5 format): velocity.h5 Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5 Geometry (in HDF-EOS5 format): geometryRadar.h5 The time series and Mean LOS Velocity (MVL) products can be georeferenced and resampled using the makTempCoh and geometryRadar products and the MintPy commands/functions.

10.5281/zenodo.7786511

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Constraints on the hydrogeological properties and land subsidence through GNSS and InSAR measurements and well data in Salmas plain, northwest of Urmia Lake, Iran

Hydrogeology Journal (2022)

Saeedeh Shahbazi Zahra Mousavi Abolfazl Rezaei

GNSS augmentation

Hydraulic head

Specific storage

10.1007/s10040-021-02416-x

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Citations (9)

Comment on egusphere-2023-1654

Abolfazl Rezaei Khalil Karami Simone Tilmes John C. Moore

Abstract. Water storage plays a profound role in the lives of people across the Middle East and North Africa (MENA) as it is the most water stressed region worldwide. The lands around the Caspian and Mediterranean Seas are simulated to be very sensitive to future climate warming. Available water capacity depends on hydroclimate variables such as temperature and precipitation that will depend on socioeconomic pathways and changes in climate. This work explores changes in both the mean and extreme terrestrial water storage (TWS) under an unmitigated greenhouse gas (GHG) scenario (SSP5-8.5) and stratospheric aerosol intervention (SAI) designed to offset GHG-induced warming above 1.5 °C and compares both with historical period simulations. Both mean and extreme TWS are projected to significantly decrease under SSP5-8.5 over the domain, except for the Arabian Peninsula, particularly in the wetter lands around the Caspian and Mediterranean Seas. Relative to global warming, SAI partially ameliorates the decreased mean TWS in the wet regions while it has no significant effect on the increased TWS in drier lands. In the entire domain studied, the mean TWS is larger under SAI than pure greenhouse gas forcing, mainly due to the significant cooling, and in turn, a substantial decrease of evapotranspiration under SAI relative to SSP5-8.5. Changes in extreme water storage excursions under global warming are reduced by SAI. Extreme TWS under both future climate scenarios are larger than throughout the historical period across Iran, Iraq, and the Arabian Peninsula, but the response of the more continental eastern North Africa hyper-arid climate is different from the neighboring dry lands.

Peninsula

Forcing (mathematics)

Representative Concentration Pathways

10.5194/egusphere-2023-1654-rc1

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Impact of thin aquitards on two-dimensional solute transport in an aquifer

Journal of Contaminant Hydrology (2013)

Abolfazl Rezaei Hongbin Zhan Mohammad Zare

10.1016/j.jconhyd.2013.06.008

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Citations (21)

Investigation of Changes in Groundwater Affected by the Electromagnetic Fields of the Earth to Predict Earthquake

Journal of Engineering Geology (2015)

Maryam Rezaei Nurul Hasani Azar Khorsandi Abolfazl Rezaei

Investigation of Changes in Groundwater Affected by the Electromagnetic Fields of the Earth to Predict Earthquake

Earthquake prediction

10.18869/acadpub.jeg.9.3.2961

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Citations (0)

Characterizing the local and global climatic factors associated with vegetation dynamics in the karst region of southwest China

Journal of Hydrology (2024)

Azfar Hussain Jianhua Cao Haider Abbas Ishtiaq Hussain Jinxing Zhou

10.1016/j.jhydrol.2024.132018

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Citations (1)

Supplementary material to "Future dust concentration over the Middle East and North Africa region under global warming and stratospheric aerosol intervention scenarios"

Seyed Vahid Mousavi Khalil Karami Simone Tilmes Helene Muri Lili Xia

Figure S1: differences of SAI and RCP8.5 simulations for mean values of (a) total leaf area index, (b) soil water and (c) wind speed for the Middle East region in summer time.(d) difference of SAI and RCP8.5 dust concentration in the MENA region in summer time.

10.5194/acp-2022-370-supplement

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Citations (1)