Impact of climate variation on hydrometeorology in Iran

Moghim, Sanaz

doi:10.1016/j.gloplacha.2018.08.013

Cited by 23 publications

(10 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They showed that health risk associated with the heat waves varies by 55 different definitions of the heat wave. An increased temperature can affect strong winds and 56 storms that are bringing warm and cold air masses (Moghim, 2018;Bengtsson et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Reliability Framework for Characterizing Heat Wave and Cold Spell Events

Moghim

Jahangir

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Extreme weather events such as heat waves and cold spells affect people’s lives. This study uses a probabilistic framework to evaluate heat waves and cold spells in different regions (Tehran in Iran and Vancouver in Canada). Average daily temperatures of meteorological stations of the two cities from 1995 to 2016 are used to identify four main indicators including intensity, average intensity, duration, and the rate of the occurrence. In addition, average intensities of the events are obtained from the MODIS Land Surface Temperature (LST) in each pixel of the two cities. To include possible uncertainties, the predictive probability distributions of the intensity and duration are derived using a Bayesian scheme and Monte-Carlo Markov Chain (MCMC) method. The probability distributions of the indicators show that the most extreme temperature (lowest temperature) occurs during the cold spell. Results indicate that although Tehran is more probable to experience heat waves than Vancouver, both cities are more likely to be affected by the cold spell than the heat wave. The developed approach can be used to characterize other extreme weather events in any location.

show abstract

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Reliability Framework for Characterizing Heat Wave and Cold Spell Events

Moghim

Jahangir

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is a widely used hydroclimatological dataset for climate and water resources research [39,40]. In addition, past studies, including Syed et al [41], Nie et al [42], and Moghim [43], confirmed that GLDAS TWS is consistent with GRACE TWS and is valid where it lacks a hydroclimatological dataset. In this study, the monthly SM, SWE, and CWS gridded spatial resolution of 1 • × 1 • grids from 2002 to 2017 were obtained from the four aforementioned LSMs determined by GLDAS.…”

Section: Grace Datasetmentioning

confidence: 85%

Land–Ocean–Atmosphere Influences on Groundwater Variability in the South Atlantic–Gulf Region

2020

View full text Add to dashboard Cite

Climate association between Groundwater Storage (GWS) and sea level changes have been missing from the Intergovernmental Panel on Climate Change, demanding a requisite study of their linkage and responses. Variability in the Hydrologic Unit Code—03 region, i.e., one of the major U.S. watersheds in the southeast caused by Sea Surface Temperature (SST) variability in the Pacific and Atlantic Ocean, was identified. Furthermore, the SST regions were identified to assess its relationship with GWS, sea level, precipitation, and terrestrial water storage. Temporal and spatial variability were obtained utilizing the singular value decomposition statistical method. A gridded GWS anomaly from the Gravity Recovery and Climate Experiment (GRACE) was used to understand the relationship with sea level and SST. The negative pockets of SST were negatively linked with GWS. The identification of teleconnections with groundwater may substantiate temporal patterns of groundwater variability. The results confirmed that the SST regions exhibited El Niño Southern Oscillation patterns, resulting in GWS changes. Moreover, a positive correlation between GWS and sea level was observed on the east coast in contrast to the southwestern United States. The findings highlight the importance of climate-driven changes in groundwater attributing changes in sea level. Therefore, SST could be a good predictor, possibly utilized for prior assessment of variabilities plus groundwater forecasting.

show abstract

“…In the past decades, climate variations have been analyzed with special attention and the results of these studies are of interest in several areas of knowledge, especially for semiarid regions, where optimized management of water resources should be pursued and land degradation should be avoided, for example. The potential applications of this topic are numerous, including in the management of water resources and in the analysis of changes in ecosystems or in economic activities (Li et al 2018;Moghim 2018;Guo et al 2019). Changes in annual rainfall have been identified in several studies conducted at local, regional and global scales (Silva et al 2015;Gocic and Trajkovic 2013;Hamlaoui-Moulai et al 2013;Rutebuka et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution and estimation of rainfall trends and erosivity in the Epitácio Pessoa reservoir catchment, Paraíba, Brazil

et al. 2020

View full text Add to dashboard Cite

The main goals of this study are to better understand the spatial and temporal variabilities in rainfall and to identify rainfall trends and erosivity for the period from 1963 to 1991 in the Epitácio Pessoa reservoir catchment, which is located in Paraíba, northeastern Brazil. This study analyzes annual rainfall trends on a regional scale by using monthly data from 13 rainfall stations. For this purpose, the nonparametric Mann–Kendall and Sen methods were used in the analysis. Descriptive statistics methods and interpolation techniques were also used for spatial–temporal analysis of the annual rainfall. A detailed statistical analysis applied to the time series of all the stations indicates that the rainfall presents substantial annual spatial–temporal variability and a negative trend (decrease) in the mean rainfall at most of the rainfall stations in the catchment during the study period. The results only showed a positive trend for the Soledade and Pocinhos stations. The distribution of positive and negative trends in the Epitácio Pessoa reservoir catchment is extremely irregular, and the changes in the study area are more significant compared to those identified in other studies. Graphic abstract

show abstract

Impact of climate variation on hydrometeorology in Iran

Cited by 23 publications

References 37 publications

WITHDRAWN: Reliability Framework for Characterizing Heat Wave and Cold Spell Events

WITHDRAWN: Reliability Framework for Characterizing Heat Wave and Cold Spell Events

Land–Ocean–Atmosphere Influences on Groundwater Variability in the South Atlantic–Gulf Region

Spatial distribution and estimation of rainfall trends and erosivity in the Epitácio Pessoa reservoir catchment, Paraíba, Brazil

Contact Info

Product

Resources

About