H. Norouzi

ORCID: 0000-0003-0405-5108
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About
Contact & Profiles
Research Areas
  • Cryospheric studies and observations
  • Soil Moisture and Remote Sensing
  • Climate change and permafrost
  • Urban Heat Island Mitigation
  • Precipitation Measurement and Analysis
  • Remote Sensing and Land Use
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Meteorological Phenomena and Simulations
  • Climate variability and models
  • Geography Education and Pedagogy
  • Marine and coastal ecosystems
  • Arctic and Antarctic ice dynamics
  • Noise Effects and Management
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Corneal surgery and disorders
  • Career Development and Diversity
  • Transboundary Water Resource Management
  • Building Energy and Comfort Optimization
  • Hydrological Forecasting Using AI
  • Soil and Unsaturated Flow
  • Atmospheric and Environmental Gas Dynamics
  • Hydrology and Drought Analysis
  • Fish Ecology and Management Studies
  • Corneal Surgery and Treatments

Shahid Beheshti University of Medical Sciences
2003-2025

New York City College of Technology
2015-2024

City University of New York
2015-2024

The Graduate Center, CUNY
2010-2024

NASA Research Park
2023

City University of Seattle
2014-2021

Iran University of Medical Sciences
2021

Firoozgar General Hospital
2021

Goddard Institute for Space Studies
2020

City College of New York
2010-2019

Abstract Traditional, mainstream definitions of drought describe it as deficit in water‐related variables or water‐dependent activities (e.g., precipitation, soil moisture, surface and groundwater storage, irrigation) due to natural variabilities that are out the control local decision‐makers. Here, we argue within coupled human‐water systems, must be defined understood a process opposed product help better frame complex interrelated dynamics both human‐induced changes define anthropogenic...

10.1029/2019rg000683 article EN Reviews of Geophysics 2021-01-28

This study contributes to characterization of satellite precipitation error which is fundamental develop uncertainty models and bias reduction algorithms. Systematic random components several products are investigated over different seasons, thresholds temporal accumulations. The analyses show that the spatial distribution systematic has similar patterns for all products. However, (random) daily accumulations significantly less (more) than high resolution 3‐hr data. One should note biases...

10.1029/2012gl051592 article EN Geophysical Research Letters 2012-04-18

The rapid shrinkage of Lake Urmia, one the world's largest saline lakes located in northwestern Iran, is a tragic wake-up call to revisit principles water resources management based on socio-economic and environmental dimensions sustainable development. overarching goal this paper set framework for deriving dynamic, climate-informed inflows drying considering both meteorological/climatic anthropogenic conditions. We report compounding effects meteorological drought unsustainable resource...

10.1088/1748-9326/aad246 article EN cc-by Environmental Research Letters 2018-07-10

Abstract Predicting algal blooms has become a priority for scientists, municipalities, businesses, and citizens. Remote sensing offers solutions to the spatial temporal challenges facing existing lake research monitoring programs that rely primarily on high‐investment, in situ measurements. Techniques remotely measure chlorophyll (chl ) as proxy biomass have been limited specific large water bodies particular seasons narrow chl ranges. Thus, first step toward prediction of is generating...

10.1002/eap.1708 article EN cc-by Ecological Applications 2018-05-30
Ben Bond‐Lamberty Danielle Christianson Avni Malhotra Stephanie Pennington Debjani Sihi and 89 more Amir AghaKouchak Hassan Anjileli M. Altaf Arain Juan J. Armestó Samaneh Ashraf Mioko Ataka Dennis Baldocchi T. Andrew Black Nina Buchmann Mariah S. Carbone Shih‐Chieh Chang P. M. Crill Peter S. Curtis Eric A. Davidson Ankur R. Desai John E. Drake Tarek S. El‐Madany Michael Gavazzi Carolyn‐Monika Görres Christopher M. Gough Michael L. Goulden Jillian W. Gregg Omar Gutiérrez del Arroyo Jin He Takashi Hirano Anya M. Hopple Holly Hughes Jӓrvi Jӓrveoja Rachhpal S. Jassal Jinshi Jian Haiming Kan Jason P. Kaye Yuji Kominami Naishen Liang David A. Lipson Catriona A. Macdonald Kadmiel Maseyk Kayla Mathes Marguerite Mauritz Melanie A. Mayes Steven G. McNulty Guofang Miao Mirco Migliavacca S. D. Miller Chelcy Ford Miniat Jennifer Goedhart Nietz Mats B. Nilsson Asko Noormets H. Norouzi Christine S. O’Connell Bruce Osborne Cecilio Oyonarte Zhuo Pang Matthias Peichl Elise Pendall Jorge F. Pérez‐Quezada Claire L. Phillips Richard P. Phillips James W. Raich Alexandre A. Renchon Nadine K. Ruehr Enrique P. Sánchez‐Cañete Matthew Saunders K. E. Savage Marion Schrumpf Russell L. Scott Ulli Seibt Whendee L. Silver Wu Sun Daphne Szutu Kentaro Takagi Masahiro Takagi Munemasa Teramoto Mark G. Tjoelker Susan Trumbore Masahito Ueyama Rodrigo Vargas R. K. Varner Joseph Verfaillie Christoph S. Vogel Jinsong Wang G. Winston Tana E. Wood Juying Wu Thomas Wutzler Jiye Zeng Tianshan Zha Quan Zhang Junliang Zou

Abstract Globally, soils store two to three times as much carbon currently resides in the atmosphere, and it is critical understand how soil greenhouse gas (GHG) emissions uptake will respond ongoing climate change. In particular, soil‐to‐atmosphere CO 2 flux, commonly though imprecisely termed respiration ( R S ), one of largest fluxes Earth system. An increasing number high‐frequency measurements (typically, from an automated system with hourly sampling) have been made over last decades;...

10.1111/gcb.15353 article EN cc-by Global Change Biology 2020-10-07

The regional-scale consistency between four precipitation products from the GPCC, TRMM, WM, and CMORPH datasets over Arabian Peninsula was assessed. Their macroscale relationships were inter-compared with soil moisture total water storage (TWS) estimates AMSR-E GRACE. analysis studied multivariate statistical hypothesis testing Pearson correlation metrics for period January 2000 to December 2010. GRACE assessed a representative sub-domain (United Arab Emirates) available in situ well...

10.1080/02626667.2018.1431647 article EN Hydrological Sciences Journal 2018-01-29

Abstract Diurnal variations of land surface temperature (LST) play a vital role in wide range applications such as climate change assessment, land–atmosphere interactions, and heat-related health issues urban regions. This study uses 15 years (2003–17) daily observations LST Collection 6 from the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on board Aqua Terra satellites. A spline interpolation method is used to estimate half-hourly global MODIS measurements. preliminary...

10.1175/jamc-d-18-0256.1 article EN Journal of Applied Meteorology and Climatology 2019-04-12

[1] The components of the Amazon water budget and their spatiotemporal variability are diagnosed using monthly averaged remote sensing-based data products for period September 2002-December 2006. large basin is divided into 14 smaller watersheds, each these sub-basins, fresh discharge estimated from balance equation satellite products. purpose this study to learn how apply with global coverage over tropical regions; therefore several combinations sensing estimates including total storage...

10.1029/2011jd015997 article EN Journal of Geophysical Research Atmospheres 2011-10-26

ABSTRACT Most previous studies of extreme temperatures have primarily focused on atmospheric temperatures. Using 18 years the latest version Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) data, we globally investigate spatial patterns hot and cold extremes as well diurnal range (DTR). We show that world’s highest LST 80.8°C, observed in Lut Desert Iran Sonoran Mexico, is over 10°C above global record 70.7°C 2005. The coldest place Earth Antarctica with...

10.1175/bams-d-20-0325.1 article EN Bulletin of the American Meteorological Society 2021-05-10

To evaluate the efficacy, predictability, stability, and safety of laser in situ keratomileusis (LASIK) to correct residual astigmatism after cataract surgery.LASIK was performed on 20 eyes patients with refractive myopic or mixed (3.00 6.00 D) at least 1 year extracapsular extraction posterior chamber intraocular lens implantation without complication. Each eye received bitoric LASIK Nidek EC-5000 excimer Automated Corneal Shaper microkeratome.At 6 months LASIK, mean cylinder decreased from...

10.3928/1081-597x-20030701-07 article EN Journal of Refractive Surgery 2003-07-01

Abstract. Microwave observations at low frequencies exhibit more sensitivity to surface and subsurface properties with little interference from the atmosphere. The objective of this study is develop a global land emissivity product using passive microwave Advanced Scanning Radiometer – Earth Observing System (AMSR-E) investigate its properties. developed complements existing products SSM/I AMSU by adding estimates two lower frequencies, 6.9 10.65 GHz (C- X-band, respectively). Observations...

10.5194/hess-15-3577-2011 article EN cc-by Hydrology and earth system sciences 2011-11-25

Abstract. The goal of this work is to intercompare four global land surface emissivity products over various land-cover conditions assess their consistency. intercompared were generated a 5-year period (2003–2007) using observations from the Advanced Microwave Scanning Radiometer – Earth Observing System (AMSR-E), Special Sensor Imager (SSM/I), Tropical Rainfall Measuring Mission (TRMM) (TMI), and WindSat. First, all reprocessed in same projection spatial resolution as they sensors with...

10.5194/amt-8-1197-2015 article EN cc-by Atmospheric measurement techniques 2015-03-11

Uncertainties in the retrievals of microwave land-surface emissivities are quantified over two types land surfaces: desert and tropical rainforest. Retrievals from satellite-based imagers, including Special Sensor Microwave Imager, Tropical Rainfall Measuring Mission Advanced Scanning Radiometer for Earth Observing System, studied. Our results show that there considerable differences between different sensors groups these types. In addition, mean emissivity values spectral behavior across...

10.1109/tgrs.2013.2244214 article EN IEEE Transactions on Geoscience and Remote Sensing 2013-03-21

Abstract In the wake of climate change, extreme events such as heatwaves are considered to be key players in terrestrial biosphere. past decades, frequency and severity have risen substantially, they projected continue intensify future. One question is therefore: how do changes affect carbon cycle? Although soil respiration (Rs) second largest contributor cycle, impacts on Rs not been fully understood. Using a unique set continuous high in-situ measurements from our field site, we...

10.1038/s41598-021-85764-8 article EN cc-by Scientific Reports 2021-03-23

A reliable estimate of emissivity is critical for a wide range applications the atmosphere, biosphere, lithosphere, cryosphere, and hydrosphere. This study uses three years (August 2012 to July 2015) data from Advanced Microwave Scanning Radiometer-2 sensor that onboard Global Change Observation Mission 1st Water satellite explore estimates instantaneous global land emissivity. method adopted remove known inconsistency in penetration depths between microwave brightness temperatures...

10.1109/lgrs.2016.2581140 article EN publisher-specific-oa IEEE Geoscience and Remote Sensing Letters 2016-07-07
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