Weekly Literature Review

Week 44 · October 26–November 1, 2020

50 relevant papers found across 6 themes

Executive Summary

This week’s review covers 50 papers across Flood Modeling and Risk Assessment, Drought Analysis and Prediction, Streamflow Forecasting and Machine Learning, Climate Change and Water Resources, Hydrologic Modeling and Calibration, and Water Management and Sustainability.

Table of Contents

  1. Executive Summary
  2. Flood Modeling and Risk Assessment
    1. Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory
    2. Increased Flood Exposure Due to Climate Change and Population Growth in the United States
    3. A deep convolutional neural network model for rapid prediction of fluvial flood inundation
    4. Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms
    5. Modeling compound flooding in coastal systems using a computationally efficient reduced-physics solver: Including fluvial, pluvial, tidal, wind- and wave-driven processes
    6. Threats of climate and land use change on future flood susceptibility
    7. Hazard and vulnerability in urban flood risk mapping: Machine learning techniques and considering the role of urban districts
    8. Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability
    9. District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process
    10. Stakeholders’ views on natural flood management: Implications for the nature-based solutions paradigm shift?
  3. Drought Analysis and Prediction
    1. Seed Priming: A Feasible Strategy to Enhance Drought Tolerance in Crop Plants
    2. The greater resilience of mixed forests to drought mainly depends on their composition: Analysis along a climate gradient across Europe
    3. Propagation of Meteorological to Hydrological Droughts in India
    4. Changes in the drought sensitivity of US maize yields
    5. Divergent responses of ecosystem water-use efficiency to extreme seasonal droughts in Southwest China
    6. Phenolic profiles and antioxidant activities in selected drought-tolerant leafy vegetable amaranth
    7. The transcription factor ZmNAC49 reduces stomatal density and improves drought tolerance in maize
    8. Impact of Drought on Soluble Sugars and Free Proline Content in Selected Arabidopsis Mutants
    9. Earth Observation for agricultural drought monitoring in the Pannonian Basin (southeastern Europe): current state and future directions
  4. Streamflow Forecasting and Machine Learning
    1. Long lead-time daily and monthly streamflow forecasting using machine learning methods
    2. A physical process and machine learning combined hydrological model for daily streamflow simulations of large watersheds with limited observation data
    3. A hybrid of Random Forest and Deep Auto-Encoder with support vector regression methods for accuracy improvement and uncertainty reduction of long-term streamflow prediction
  5. Climate Change and Water Resources
    1. Indigenous knowledge on climate change adaptation: a global evidence map of academic literature
    2. Possible Effects of Climate Change on Ixodid Ticks and the Pathogens They Transmit: Predictions and Observations
    3. Eco-reproductive concerns in the age of climate change
    4. Global warming due to loss of large ice masses and Arctic summer sea ice
    5. Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study
    6. Enhanced Coastal Shoreline Modeling Using an Ensemble Kalman Filter to Include Nonstationarity in Future Wave Climates
  6. Hydrologic Modeling and Calibration
    1. Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response
    2. The making of the New European Wind Atlas – Part 1: Model sensitivity
    3. ENSO and Pacific Decadal Variability in the Community Earth System Model Version 2
    4. A groundwater potential zone mapping approach for semi-arid environments using remote sensing (RS), geographic information system (GIS), and analytical hierarchical process (AHP) techniques: a case study of Buffalo catchment, Eastern Cape, South Africa
    5. A hybrid runoff generation modelling framework based on spatial combination of three runoff generation schemes for semi-humid and semi-arid watersheds
    6. Modeled Microbial Dynamics Explain the Apparent Temperature Sensitivity of Wetland Methane Emissions
    7. Modeling Water Quality in Watersheds: From Here to the Next Generation
    8. Global modeling of cloud water acidity, precipitation acidity, and acid inputs to ecosystems
    9. Impact of Uncertainty in Precipitation Forcing Data Sets on the Hydrologic Budget of an Integrated Hydrologic Model in Mountainous Terrain
    10. Quantifying the impact of vegetation changes on global terrestrial runoff using the Budyko framework
    11. Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model
    12. Evaluation of runoff and soil erosion under conventional tillage and no-till management: A case study in northeast Italy
  7. Water Management and Sustainability
    1. Reconstructed Water Oxidation Electrocatalysts: The Impact of Surface Dynamics on Intrinsic Activities
    2. Water-energy-ecosystem nexus: Balancing competing interests at a run-of-river hydropower plant coupling a hydrologic–ecohydraulic approach
    3. Moist heat stress extremes in India enhanced by irrigation
    4. The Making of the New European Wind Atlas – Part 2: Production and evaluation
    5. Monsoons, ITCZs, and the Concept of the Global Monsoon
    6. How large does a large ensemble need to be?
    7. Dams shift microbial community assembly and imprint nitrogen transformation along the Yangtze River
    8. Application of photovoltaic system to modify energy use, environmental damages and cumulative exergy demand of two irrigation systems-A case study: Barley production of Iran
    9. A combined Terra and Aqua MODIS land surface temperature and meteorological station data product for China from 2003 to 2017
    10. Effects of irrigation quantity and biochar on soil physical properties, growth characteristics, yield and quality of greenhouse tomato
  8. Statistics
    1. Papers by journal
  9. Filtering Criteria

Flood Modeling and Risk Assessment

This week features 10 papers advancing flood science, spanning susceptibility mapping, risk assessment, and hydrodynamic modeling. Notable contributions from Nachappa, Swain et al. The studies collectively advance both data-driven and physically-based approaches to flood prediction and management.

Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory

Authors: Thimmaiah Gudiyangada Nachappa, Sepideh Tavakkoli Piralilou, Khalil Gholamnia, O. Ghorbanzadeh, Omid Rahmati, T. Blaschke

Journal: Unknown · DOI: 10.1016/j.jhydrol.2020.125275 · Citations: 330

Matched topics: flood

Abstract Floods are one of the most widespread natural hazards occurring across the globe. The main objective of this study was to produce flood susceptibility maps for the province of Salzburg, Austria, using two multi-criteria decision analysis (MCDA) models including analytical hierarchical process (AHP) and analytical network process (ANP) and two machine learning (ML) models including random forest (RF) and support vector machine (SVM). Additionally, we compare which of the MCDA and ML m…

Increased Flood Exposure Due to Climate Change and Population Growth in the United States

Authors: Daniel L. Swain, Oliver Wing, Paul Bates, J. Done, Kris Johnson, D. Richard Cameron

Journal: Earth s Future · DOI: 10.1029/2020ef001778 · Citations: 284

Matched topics: hydrology, streamflow, flood, climate change, earth system model

Abstract Precipitation extremes are increasing globally due to anthropogenic climate change. However, there remains uncertainty regarding impacts upon flood occurrence and subsequent population exposure. Here, we quantify changes in population exposure to flood hazard across the contiguous United States. We combine simulations from a climate model large ensemble and a high‐resolution hydrodynamic flood model—allowing us to directly assess changes across a wide range of extreme precipitation m…

A deep convolutional neural network model for rapid prediction of fluvial flood inundation

Authors: Syed Kabir, S. Patidar, X. Xia, Q. Liang, J. Neal, G. Pender

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2020.125481 · Citations: 270

Matched topics: flood

Abstract Most of the two-dimensional (2D) hydraulic/hydrodynamic models are still computationally too demanding for real-time applications. In this paper, an innovative modelling approach based on a deep convolutional neural network (CNN) method is presented for rapid prediction of fluvial flood inundation. The CNN model is trained using outputs from a 2D hydraulic model (i.e. LISFLOOD-FP) to predict water depths. The pre-trained model is then applied to simulate the January 2005 and December…

Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms

Authors: Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, Asish Saha, Rabin Chakrabortty, Assefa M. Melesse et al.

Journal: Remote Sensing · DOI: 10.3390/rs12213568 · Citations: 240

Matched topics: hydrologic model, flood

Flash flooding is considered one of the most dynamic natural disasters for which measures need to be taken to minimize economic damages, adverse effects, and consequences by mapping flood susceptibility. Identifying areas prone to flash flooding is a crucial step in flash flood hazard management. In the present study, the Kalvan watershed in Markazi Province, Iran, was chosen to evaluate the flash flood susceptibility modeling. Thus, to detect flash flood-prone zones in this study area, five …

Modeling compound flooding in coastal systems using a computationally efficient reduced-physics solver: Including fluvial, pluvial, tidal, wind- and wave-driven processes

Authors: Tim Leijnse, Maarten van Ormondt, Kees Nederhoff, Ap van Dongeren

Journal: Coastal Engineering · DOI: 10.1016/j.coastaleng.2020.103796 · Citations: 194

Matched topics: flood

Abstract not available.

Threats of climate and land use change on future flood susceptibility

Authors: Paramita Roy, Subodh Chandra Pal, Rabin Chakrabortty, Indrajit Chowdhuri, Sadhan Malik, B. Das

Journal: Unknown · DOI: 10.1016/j.jclepro.2020.122757 · Citations: 177

Matched topics: flood

Abstract Management of any unstable situation or conditions helps to return it to its natural state. In recent times, disaster management is required for sustainable management. Researchers, geographers, climatologists, regional planners in every country are trying to control and mitigate the effect of disasters. The Ajoy River basin of eastern India is facing the acute problem of flood in every monsoon period and this region is highly populated as well as agricultural productivity is very hi…

Hazard and vulnerability in urban flood risk mapping: Machine learning techniques and considering the role of urban districts

Authors: M. Eini, H. Kaboli, Mohsen Rashidian, Hossien Hedayat

Journal: Unknown · DOI: 10.1016/j.ijdrr.2020.101687 · Citations: 169

Matched topics: flood

Abstract Urban flood risk mapping plays a decisive role in urban management and planning, especially in reducing flood damages. In this study, a flood risk map was produced for Kermanshah city (Iran) by combining flood hazard and flood vulnerability maps. Based on effective factors of urban flooding, flood hazard maps were generated using two machine learning models: Maximum Entropy (MaxEnt) and Genetic Algorithm Rule-Set Production (GARP). These models were developed on 117 flood sites which…

Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability

Authors: Mohammadtaghi Avand, Hamidreza Moradi, Mehdi Ramazanzadeh lasboyee

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2020.125663 · Citations: 161

Matched topics: flood

Abstract not available.

District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process

Authors: Ömer Ekmekcioğlu, Kerim Koç, Mehmet Özger

Journal: Stochastic Environmental Research and Risk Assessment · DOI: 10.1007/s00477-020-01924-8 · Citations: 128

Matched topics: flood

Abstract not available.

Stakeholders’ views on natural flood management: Implications for the nature-based solutions paradigm shift?

Authors: Rosalind H. Bark, Julia Martín-Ortega, Kerry A. Waylen

Journal: Environmental Science & Policy · DOI: 10.1016/j.envsci.2020.10.018 · Citations: 101

Matched topics: hydrology, flood

Abstract not available.

Drought Analysis and Prediction

Drought research this week encompasses 9 studies covering monitoring, prediction, and impact assessment. Key work by Marthandan, Pardos et al. highlights advances in drought characterization across multiple spatial and temporal scales.

Seed Priming: A Feasible Strategy to Enhance Drought Tolerance in Crop Plants

Authors: V. Marthandan, R. Geetha, K. Kumutha, V. G. Renganathan, A. Karthikeyan, J. Ramalingam

Journal: International Journal of Molecular Sciences · DOI: 10.3390/ijms21218258 · Citations: 264

Matched topics: drought

Drought is a serious threat to the farming community, biasing the crop productivity in arid and semi-arid regions of the world. Drought adversely affects seed germination, plant growth, and development via non-normal physiological processes. Plants generally acclimatize to drought stress through various tolerance mechanisms, but the changes in global climate and modern agricultural systems have further worsened the crop productivity. In order to increase the production and productivity, sever…

The greater resilience of mixed forests to drought mainly depends on their composition: Analysis along a climate gradient across Europe

Authors: Marta Pardos, Miren del Rı́o, Hans Pretzsch, Hervé Jactel, Kamil Bielak, Felipe Bravo et al.

Journal: Forest Ecology and Management · DOI: 10.1016/j.foreco.2020.118687 · Citations: 249

Matched topics: drought

Despite growing evidence that diverse forests play an important role in ecosystem functioning, ensuring the provision of different ecosystem services, whether such diversity improves their response to drought events remains unclear. In this study, we use a large tree-ring database from thirty case studies across nine European countries and eleven species, covering from Mediterranean to hemiboreal forests, to test if the growth response to site specific drought events that occurred between 197…

Propagation of Meteorological to Hydrological Droughts in India

Authors: Kunal Bhardwaj, Deep Shah, Saran Aadhar, Vimal Mishra

Journal: Journal of Geophysical Research Atmospheres · DOI: 10.1029/2020jd033455 · Citations: 206

Matched topics: hydrologic model, streamflow, drought

Abstract Drought is among the costliest natural disasters that affect the economy, food and water security, and socioeconomic well‐being of about 1.4 billion people in India. Despite the profound implications of droughts, the propagation of meteorological to hydrological droughts in India is not examined. Here, we use observations and simulations from a well‐calibrated and evaluated Variable Infiltration Capacity (VIC) model to estimate drought propagation in India. Standardized Precipitation…

Changes in the drought sensitivity of US maize yields

Authors: David B. Lobell, Jillian M. Deines, Stefania Di Tommaso

Journal: Nature Food · DOI: 10.1038/s43016-020-00165-w · Citations: 156

Matched topics: drought

Abstract not available.

Divergent responses of ecosystem water-use efficiency to extreme seasonal droughts in Southwest China

Authors: Wang Min, Zhi Ding, Chaoyang Wu, Lisheng Song, Mingguo Ma, Pujia Yu et al.

Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2020.143427 · Citations: 153

Matched topics: drought, seasonal

The recurrent drought extremes have resulted in deleterious impacts on ecological security. Despite that many attempts have been made to explore ecosystem responses to different severities of droughts, a deep understanding of how ecosystem water-use efficiency (WUE) responds to extreme seasonal droughts is critical for predicting the trends under future climate change, especially in the ecologically-fragile karst ecosystem across Southwest China. This study systematically examined the spatio-…

Phenolic profiles and antioxidant activities in selected drought-tolerant leafy vegetable amaranth

Authors: Umakanta Sarker, Shinya Oba

Journal: Scientific Reports · DOI: 10.1038/s41598-020-71727-y · Citations: 141

Matched topics: drought

. Therefore, drought-tolerant leafy vegetable amaranth VA14 and VA16 can be grown in semi-arid and drought-prone areas in the world to attaining vitamins and antioxidant sufficiency. The phenolic and flavonoids compounds identified in drought-tolerant leafy vegetable amaranth demand a comprehensive pharmacological study. The baseline data on phenolic and flavonoids compounds obtained in the present study will contribute to the scientist forum for the scientific evaluation of these compounds i…

The transcription factor ZmNAC49 reduces stomatal density and improves drought tolerance in maize

Authors: Yang Xiang, Xiujuan Sun, Xiangli Bian, Tianhui Wei, Tong Han, Jingwei Yan et al.

Journal: Journal of Experimental Botany · DOI: 10.1093/jxb/eraa507 · Citations: 139

Matched topics: drought

Drought stress severely limits the growth, development, and productivity of crops, and therefore understanding the mechanisms by which plants respond to drought is crucial. In this study, we cloned a maize NAC transcription factor, ZmNAC49, and identified its function in response to drought stress. We found that ZmNAC49 is localized in the nucleus and has transcriptional activation activity. ZmNAC49 expression is rapidly and strongly induced by drought stress, and overexpression enhances stre…

Impact of Drought on Soluble Sugars and Free Proline Content in Selected Arabidopsis Mutants

Authors: Libero Gurrieri, Martina Merico, Paolo Trost, Giuseppe Forlani, Francesca Sparla

Journal: Biology · DOI: 10.3390/biology9110367 · Citations: 120

Matched topics: drought

in response to drought. Finally, an interaction between proline and soluble sugars emerged, albeit its nature remains speculative and further investigations will be required for complete comprehension.

Earth Observation for agricultural drought monitoring in the Pannonian Basin (southeastern Europe): current state and future directions

Authors: Laura Crocetti, Matthias Forkel, Milan Fischer, František Jurečka, Aleš Grlj, Andreas Salentinig et al.

Journal: Regional Environmental Change · DOI: 10.1007/s10113-020-01710-w · Citations: 97

Matched topics: drought, land surface model

Abstract The Pannonian Basin in southeastern Europe is heavily used for rain-fed agriculture. The region experienced several droughts in the last years, causing major yield losses. Ongoing climate change, characterised by increasing temperatures and potential evapotranspiration, and by changes in precipitation distribution will likely increase the frequency and intensity of drought episodes in the future. Hence, ongoing monitoring of droughts and estimation of their impact on agriculture is n…

Streamflow Forecasting and Machine Learning

Machine learning and data-driven approaches to streamflow prediction feature prominently with 3 papers. The studies demonstrate continued innovation in hybrid modeling frameworks, signal decomposition techniques, and ensemble methods for improved hydrological forecasting.

Long lead-time daily and monthly streamflow forecasting using machine learning methods

Authors: M. Cheng, F. Fang, T. Kinouchi, Ionel M. Navon, C. Pain

Journal: Unknown · DOI: 10.1016/j.jhydrol.2020.125376 · Citations: 230

Matched topics: streamflow

Abstract Long lead-time streamflow forecasting is of great significance for water resources planning and management in both the short and long terms. Despite of some studies using machine learning methods in streamflow forecasting, only few studies have been conducted to explore long lead-time forecasting capabilities of these methods, and gain an insight into systematic comparison of model forecasting performance in both the short and long terms. In this work, an artificial neural network (A…

A physical process and machine learning combined hydrological model for daily streamflow simulations of large watersheds with limited observation data

Authors: Shuyu Yang, Dawen Yang, Jinsong Chen, J. Santisirisomboon, W. Lu, Baoxu Zhao

Journal: Unknown · DOI: 10.1016/j.jhydrol.2020.125206 · Citations: 209

Matched topics: streamflow

Abstract Physically distributed hydrological models are effective in hydrological simulations of large river basins, but the complex characteristics of hydrological features limit their application. An easy-to-use and high-efficiency hydrological model is needed for efficient water resource management in practice. Machine learning (ML) based models have the potential to provide fast mapping pathways between meteorological predictors and hydrological responses without detailed descriptions of …

A hybrid of Random Forest and Deep Auto-Encoder with support vector regression methods for accuracy improvement and uncertainty reduction of long-term streamflow prediction

Authors: Mahdi Abbasi, Ashkan Farokhnia, Masoud Bahreinimotlagh, Reza Roozbahani

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2020.125717 · Citations: 97

Matched topics: runoff, streamflow

Abstract Streamflow forecasting is an important component of water resources planning and management. Data-Driven Models (DDMs) are common approaches for streamflow prediction. DDMs try to obtain a mathematical relation between variables without any prior knowledge or assumption about the physical relation between them. Hence, these models are effective for complex process modeling. In this study, we use the Support Vector Regression (SVR) and Multiple Linear Regression (MLR) models for long-…

Climate Change and Water Resources

Climate-water interactions are explored in 6 papers this week, addressing impacts on the cryosphere, water cycle components, and regional water resources under changing conditions.

Indigenous knowledge on climate change adaptation: a global evidence map of academic literature

Authors: Jan Petzold, Nadine Andrews, James D. Ford, Christopher Hedemann, Julio C. Postigo

Journal: Environmental Research Letters · DOI: 10.1088/1748-9326/abb330 · Citations: 248

Matched topics: climate change, earth system model

Abstract There is emerging evidence of the important role of indigenous knowledge for climate change adaptation. The necessity to consider different knowledge systems in climate change research has been established in the fifth assessment report (AR5) of the Intergovernmental Panel on Climate Change (IPCC). However, gaps in author expertise and inconsistent assessment by the IPCC lead to a regionally heterogeneous and thematically generic coverage of the topic. We conducted a scoping review o…

Possible Effects of Climate Change on Ixodid Ticks and the Pathogens They Transmit: Predictions and Observations

Authors: Nicholas H. Ogden, Charles B. Beard, Howard S. Ginsberg, Jean I. Tsao

Journal: Journal of Medical Entomology · DOI: 10.1093/jme/tjaa220 · Citations: 238

Matched topics: climate change

The global climate has been changing over the last century due to greenhouse gas emissions and will continue to change over this century, accelerating without effective global efforts to reduce emissions. Ticks and tick-borne diseases (TTBDs) are inherently climate-sensitive due to the sensitivity of tick lifecycles to climate. Key direct climate and weather sensitivities include survival of individual ticks, and the duration of development and host-seeking activity of ticks. These sensitivit…

Eco-reproductive concerns in the age of climate change

Authors: Matthew Schneider-Mayerson, Kit Ling Leong

Journal: Climatic Change · DOI: 10.1007/s10584-020-02923-y · Citations: 169

Matched topics: climate change

Abstract not available.

Global warming due to loss of large ice masses and Arctic summer sea ice

Authors: Nico Wunderling, Matteo Willeit, Jonathan F. Donges, Ricarda Winkelmann

Journal: Nature Communications · DOI: 10.1038/s41467-020-18934-3 · Citations: 149

Matched topics: earth system model

concentration of 400 ppm. Most of this response (55%) is caused by albedo changes, but lapse rate together with water vapour (30%) and cloud feedbacks (15%) also contribute significantly. While a decay of the ice sheets would occur on centennial to millennial time scales, the Arctic might become ice-free during summer within the 21st century. Our findings imply an additional increase of the GMT on intermediate to long time scales.

Authors: Whanhee Lee, Yoonhee Kim, Francesco Sera, Antonio Gasparrini, Rokjin J. Park, Hayon Michelle Choi et al.

Journal: The Lancet Planetary Health · DOI: 10.1016/s2542-5196(20)30222-9 · Citations: 111

Matched topics: climate change

BACKGROUND: Various retrospective studies have reported on the increase of mortality risk due to higher diurnal temperature range (DTR). This study projects the effect of DTR on future mortality across 445 communities in 20 countries and regions. METHODS: DTR-related mortality risk was estimated on the basis of the historical daily time-series of mortality and weather factors from Jan 1, 1985, to Dec 31, 2015, with data for 445 communities across 20 countries and regions, from the Multi-Count…

Enhanced Coastal Shoreline Modeling Using an Ensemble Kalman Filter to Include Nonstationarity in Future Wave Climates

Authors: Raimundo Ibaceta, Kristen D. Splinter, Mitchell D. Harley, Ian L. Turner

Journal: Geophysical Research Letters · DOI: 10.1029/2020gl090724 · Citations: 93

Matched topics: hydrology, hydrologic model, streamflow

Abstract A novel approach to improve seasonal to interannual sandy shoreline predictions is presented, whereby model‐free parameters can vary in time, adjusting to potential nonstationarity in the underlying model forcing. This is achieved by adopting a suitable data assimilation technique (dual state‐parameter ensemble Kalman filter) within the established shoreline evolution model ShoreFor. The method is first tested and evaluated using synthetic scenarios, specifically designed to emulate …

Hydrologic Modeling and Calibration

Hydrologic model development and evaluation features 12 papers covering precipitation estimation, model calibration, rainfall-runoff processes, and large-scale simulation advances.

Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response

Authors: Zebedee Nicholls, Malte Meinshausen, Jared Lewis, Robert Gieseke, Dietmar Dommenget, Kalyn Dorheim et al.

Journal: Geoscientific model development · DOI: 10.5194/gmd-13-5175-2020 · Citations: 188

Matched topics: earth system model

Abstract. Reduced-complexity climate models (RCMs) are critical in the policy and decision making space, and are directly used within multiple Intergovernmental Panel on Climate Change (IPCC) reports to complement the results of more comprehensive Earth system models. To date, evaluation of RCMs has been limited to a few independent studies. Here we introduce a systematic evaluation of RCMs in the form of the Reduced Complexity Model Intercomparison Project (RCMIP). We expect RCMIP will exten…

The making of the New European Wind Atlas – Part 1: Model sensitivity

Authors: Andrea N. Hahmann, Tija Sīle, Björn Witha, Neil Davis, Martin Dörenkämper, Yasemin Ezber et al.

Journal: Geoscientific model development · DOI: 10.5194/gmd-13-5053-2020 · Citations: 166

Matched topics: land surface model, earth system model

Abstract. This is the first of two papers that document the creation of the New European Wind Atlas (NEWA). It describes the sensitivity analysis and evaluation procedures that formed the basis for choosing the final setup of the mesoscale model simulations of the wind atlas. The suitable combination of model setup and parameterizations, bound by practical constraints, was found for simulating the climatology of the wind field at turbine-relevant heights with the Weather Research and Forecast…

ENSO and Pacific Decadal Variability in the Community Earth System Model Version 2

Authors: A. Capotondi, C. Deser, A. Phillips, Y. Okumura, S. Larson

Journal: Journal of Advances in Modeling Earth Systems · DOI: 10.1029/2019MS002022 · Citations: 145

Matched topics: earth system model

This study presents a description of the El Niño–Southern Oscillation (ENSO) and Pacific Decadal Variability (PDV) in a multicentury preindustrial simulation of the Community Earth System Model Version 2 (CESM2). The model simulates several aspects of ENSO relatively well, including dominant timescale, tropical and extratropical precursors, composite evolution of El Niño and La Niña events, and ENSO teleconnections. The good model representation of ENSO spectral characteristics is consistent …

A groundwater potential zone mapping approach for semi-arid environments using remote sensing (RS), geographic information system (GIS), and analytical hierarchical process (AHP) techniques: a case study of Buffalo catchment, Eastern Cape, South Africa

Authors: Solomon Temidayo Owolabi, Kakaba Madi, Ahmed Mukalazi Kalumba, Israel R. Orimoloye

Journal: Arabian Journal of Geosciences · DOI: 10.1007/s12517-020-06166-0 · Citations: 135

Matched topics: hydrologic model, streamflow, land surface model, earth system model

Abstract Theme unsuitability is noted to have inhibited the accuracy of groundwater potential zones (GWPZs) mapping approach, especially in a semi-arid environment where surface water supply is inadequate. This work, therefore presents a geoscience approach for mapping high-precision GWPZs peculiar to the semi-arid area, using Buffalo catchment, Eastern Cape, South Africa, as a case study. Maps of surficial-lithology, lineament-density, drainage-density, rainfall-distribution, normalized-diff…

A hybrid runoff generation modelling framework based on spatial combination of three runoff generation schemes for semi-humid and semi-arid watersheds

Authors: Yuhuan Liu, Ke Zhang, Zhijia Li, Zhiyu Liu, Zhiyu Liu, Jingfeng Wang et al.

Journal: Unknown · DOI: 10.1016/j.jhydrol.2020.125440 · Citations: 132

Matched topics: runoff

Abstract It is challenging to accurately differentiate and simulate different runoff components yielded under the saturation-excess and infiltration-excess mechanisms in semi-arid and semi-humid watersheds. Fixed model structures and runoff generation modes in most of the existing conventional hydrological models limit their ability to account for respective contributions of saturation-excess and infiltration-excess flows to flood processes. To conquer this limitation, this study developed a …

Modeled Microbial Dynamics Explain the Apparent Temperature Sensitivity of Wetland Methane Emissions

Authors: Sarah Chadburn, Tuula Aalto, Mika Aurela, Dennis Baldocchi, Christina Biasi, Julia Boike et al.

Journal: Global Biogeochemical Cycles · DOI: 10.1029/2020gb006678 · Citations: 114

Matched topics: hydrology, hydrologic model, land surface model, earth system model

Methane emissions from natural wetlands tend to increase with temperature and therefore may lead to a positive feedback under future climate change. However, their temperature response includes confounding factors and appears to differ on different time scales. Observed methane emissions depend strongly on temperature on a seasonal basis, but if the annual mean emissions are compared between sites, there is only a small temperature effect. We hypothesize that microbial dynamics are a major dr…

Modeling Water Quality in Watersheds: From Here to the Next Generation

Authors: Baihua Fu, Jeffery S. Horsburgh, Anthony J. Jakeman, Carlo Gualtieri, Thorsten Arnold, Lucy Marshall et al.

Journal: Water Resources Research · DOI: 10.1029/2020wr027721 · Citations: 111

Matched topics: hydrology, hydrologic model, water management

In this synthesis, we assess present research and anticipate future development needs in modeling water quality in watersheds. We first discuss areas of potential improvement in the representation of freshwater systems pertaining to water quality, including representation of environmental interfaces, in-stream water quality and process interactions, soil health and land management, and (peri-)urban areas. In addition, we provide insights into the contemporary challenges in the practices of wa…

Global modeling of cloud water acidity, precipitation acidity, and acid inputs to ecosystems

Authors: Viral Shah, Daniel J. Jacob, Jonathan M. Moch, Xuan Wang, Shixian Zhai

Journal: Atmospheric chemistry and physics · DOI: 10.5194/acp-20-12223-2020 · Citations: 102

Matched topics: earth system model

Abstract. Cloud water acidity affects the atmospheric chemistry of sulfate and organic aerosol formation, halogen radical cycling, and trace metal speciation. Precipitation acidity including post-depositional inputs adversely affects soil and freshwater ecosystems. Here, we use the GEOS-Chem model of atmospheric chemistry to simulate the global distributions of cloud water and precipitation acidity as well as the total acid inputs to ecosystems from wet deposition. The model accounts for stro…

Impact of Uncertainty in Precipitation Forcing Data Sets on the Hydrologic Budget of an Integrated Hydrologic Model in Mountainous Terrain

Authors: Adam P. Schreiner‐McGraw, Hoori Ajami

Journal: Water Resources Research · DOI: 10.1029/2020wr027639 · Citations: 100

Matched topics: hydrology, hydrologic model, surface water

Abstract Precipitation is a key input variable in distributed surface water‐groundwater models, and its spatial variability is expected to impact watershed hydrologic response via changes in subsurface flow dynamics. Gridded precipitation data sets based on gauge observations, however, are plagued by uncertainty, especially in mountainous terrain where gauge networks are sparse. To examine the mechanisms via which uncertainty in precipitation data propagates through a watershed, we perform a …

Quantifying the impact of vegetation changes on global terrestrial runoff using the Budyko framework

Authors: Yu Luo, Yuting Yang, Dawen Yang, Shulei Zhang

Journal: Unknown · DOI: 10.1016/j.jhydrol.2020.125389 · Citations: 100

Matched topics: runoff

Abstract The global hydrological cycle is undergoing unprecedented changes with the intensifications of climate change and human activities. In particular, the impact of vegetation changes on the catchment hydrological processes has recently attracted widespread scientific attention. Although such impact in different regions of the globe has been extensively investigated, a comprehensive understanding of the impact across the entire globe remains elusive. In this study, we quantify the impact…

Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model

Authors: R. Adnan, A. Petroselli, Salim Heddam, C. Santos, O. Kisi

Journal: Stochastic environmental research and risk assessment (Print) · DOI: 10.1007/s00477-020-01910-0 · Citations: 98

Matched topics: runoff

Abstract not available.

Evaluation of runoff and soil erosion under conventional tillage and no-till management: A case study in northeast Italy

Authors: Laura Carretta, Paolo Tarolli, Alessandra Cardinali, Paolo Nasta, Nunzio Romano, Roberta Masin

Journal: CATENA · DOI: 10.1016/j.catena.2020.104972 · Citations: 93

Matched topics: runoff

Abstract not available.

Water Management and Sustainability

Water management research spans 10 papers addressing topics from irrigation optimization and reservoir operations to water resource assessment and sustainability frameworks.

Reconstructed Water Oxidation Electrocatalysts: The Impact of Surface Dynamics on Intrinsic Activities

Authors: N. Clament Sagaya Selvam, Lijie Du, Bao Yu Xia, Pil J. Yoo, Bo You

Journal: Advanced Functional Materials · DOI: 10.1002/adfm.202008190 · Citations: 272

Matched topics: surface water

Abstract Electroreduction of small molecules such as H 2 O, CO 2 , and N 2 for producing clean fuels or valuable chemicals provides a sustainable approach to meet the increasing global energy demands and to alleviate the concern on climate change resulting from fossil fuel consumption. On the path to implement this purpose, however, several scientific hurdles remain, one of which is the low energy efficiency due to the sluggish kinetics of the paired oxygen evolution reaction (OER). In respon…

Water-energy-ecosystem nexus: Balancing competing interests at a run-of-river hydropower plant coupling a hydrologic–ecohydraulic approach

Authors: Alban Kuriqi, A. Pinheiro, Á. Sordo-Ward, L. Garrote

Journal: Unknown · DOI: 10.1016/j.enconman.2020.113267 · Citations: 270

Matched topics: hydrologic model, river, hydropower

Abstract The water-energy-ecosystem nexus represents a complex interlinkage that depends on the flow regime type. Inadequate environmental flows setting may adversely affect the riverine ecosystem and/or hydropower revenue. This issue was addressed quantitatively in this study by considering a run-of-river hydropower plant located in a river of the Tagus basin characterised by a pluvial winter flow regime. Three models: a hydropower, a hydrologic, and an ecohydraulic model were integrated to …

Moist heat stress extremes in India enhanced by irrigation

Authors: Vimal Mishra, Anukesh Krishnankutty Ambika, Akarsh Asoka, Saran Aadhar, Jonathan Buzan, Rohini Kumar et al.

Journal: Nature Geoscience · DOI: 10.1038/s41561-020-00650-8 · Citations: 239

Matched topics: land surface model, irrigation

Abstract not available.

The Making of the New European Wind Atlas – Part 2: Production and evaluation

Authors: Martin Dörenkämper, Bjarke Tobias Olsen, Björn Witha, Andrea N. Hahmann, Neil Davis, Jordi Barcons et al.

Journal: Geoscientific model development · DOI: 10.5194/gmd-13-5079-2020 · Citations: 190

Matched topics: land surface model, earth system model

Abstract. This is the second of two papers that document the creation of the New European Wind Atlas (NEWA). In Part 1, we described the sensitivity experiments and accompanying evaluation done to arrive at the final mesoscale model setup used to produce the mesoscale wind atlas. In this paper, Part 2, we document how we made the final wind atlas product, covering both the production of the mesoscale climatology generated with the Weather Research and Forecasting (WRF) model and the microscal…

Monsoons, ITCZs, and the Concept of the Global Monsoon

Authors: Ruth Geen, Simona Bordoni, David S. Battisti, K. L. Hui

Journal: Reviews of Geophysics · DOI: 10.1029/2020rg000700 · Citations: 190

Matched topics: land surface model

Abstract Earth’s tropical and subtropical rainbands, such as Intertropical Convergence Zones (ITCZs) and monsoons, are complex systems, governed by both large‐scale constraints on the atmospheric general circulation and regional interactions with continents and orography, and coupled to the ocean. Monsoons have historically been considered as regional large‐scale sea breeze circulations, driven by land‐sea contrast. More recently, a perspective has emerged of a global monsoon, a global‐scale …

How large does a large ensemble need to be?

Authors: Sebastian Milinski, Nicola Maher, Dirk Olonscheck

Journal: Earth System Dynamics · DOI: 10.5194/esd-11-885-2020 · Citations: 188

Matched topics: earth system model

Abstract. Initial-condition large ensembles with ensemble sizes ranging from 30 to 100 members have become a commonly used tool for quantifying the forced response and internal variability in various components of the climate system. However, there is no consensus on the ideal or even sufficient ensemble size for a large ensemble. Here, we introduce an objective method to estimate the required ensemble size that can be applied to any given application and demonstrate its use on the examples o…

Dams shift microbial community assembly and imprint nitrogen transformation along the Yangtze River

Authors: Yu Gao, Wenlong Zhang, Yi Li, Hainan Wu, Nan Yang, Cizhang Hui

Journal: Water Research · DOI: 10.1016/j.watres.2020.116579 · Citations: 136

Matched topics: hydrology, river

Abstract not available.

Application of photovoltaic system to modify energy use, environmental damages and cumulative exergy demand of two irrigation systems-A case study: Barley production of Iran

Authors: Hassan Ghasemi-Mobtaker, Fatemeh Mostashari-Rad, Z. Saber, K. Chau, Ashkan Nabavi‐Pelesaraei

Journal: Unknown · DOI: 10.1016/j.renene.2020.07.047 · Citations: 136

Matched topics: irrigation

Abstract Irrigation is one of energy-intensive operations in agriculture, which consumes great part of energy inputs and has harmful environmental effects. Thus, the goal of this study is to simulate application of photovoltaic (PV) system as an alternative clean energy supplier to achieve energy-environmental sustainability under two irrigation methods, namely, surface irrigation (SFI) and sprinkler irrigation (SPI) in barley cultivation. Data are collected during the growing season of 2018–…

A combined Terra and Aqua MODIS land surface temperature and meteorological station data product for China from 2003 to 2017

Authors: Bing Zhao, Kebiao Mao, Yulin Cai, Jiancheng Shi, Zhao-Liang Li, Zhihao Qin et al.

Journal: Earth system science data · DOI: 10.5194/essd-12-2555-2020 · Citations: 135

Matched topics: land surface model

Abstract. Land surface temperature (LST) is a key variable for high temperature and drought monitoring and climate and ecological environment research. Due to the sparse distribution of ground observation stations, thermal infrared remote sensing technology has become an important means of quickly obtaining ground temperature over large areas. However, there are many missing and low-quality values in satellite-based LST data because clouds cover more than 60 % of the global surface every day….

Effects of irrigation quantity and biochar on soil physical properties, growth characteristics, yield and quality of greenhouse tomato

Authors: Chuan Zhang, Xinyu Li, Haofang Yan, I. Ullah, Zhiyu Zuo, Lanlan Li et al.

Journal: Unknown · DOI: 10.1016/j.agwat.2020.106263 · Citations: 126

Matched topics: irrigation

Abstract Considering the challenges faced by current agricultural industry, such as less cultivable land, lack of soil nutrient value, limited water resources, low yield and fruit quality (Appearance and nutritional values). Biochar application was found effective way to improve soil physical properties, consequently, yield and quality of tomatoes. Biochar at three levels: B0 (0 ton/ha), B1 (25 tons/ha) and B2 (50 tons/ha) with three levels of drip irrigation quantity: full irrigation T1 (1.4…

Statistics

Metric Count
Databases searched 2
Topics searched 16
Total papers fetched 988
After deduplication 736
After LLM relevance filtering 50
Rejected (not relevant) 686

Papers by journal

Journal Papers
Unknown 10
Journal of Hydrology 3
Geoscientific model development 3
Water Resources Research 2
Earth s Future 1
Remote Sensing 1
Coastal Engineering 1
Stochastic Environmental Research and Risk Assessment 1
Environmental Science & Policy 1
International Journal of Molecular Sciences 1
Forest Ecology and Management 1
Journal of Geophysical Research Atmospheres 1
Nature Food 1
The Science of The Total Environment 1
Scientific Reports 1
Journal of Experimental Botany 1
Biology 1
Regional Environmental Change 1
Environmental Research Letters 1
Journal of Medical Entomology 1
Climatic Change 1
Nature Communications 1
The Lancet Planetary Health 1
Geophysical Research Letters 1
Journal of Advances in Modeling Earth Systems 1
Arabian Journal of Geosciences 1
Global Biogeochemical Cycles 1
Atmospheric chemistry and physics 1
Stochastic environmental research and risk assessment (Print) 1
CATENA 1
Advanced Functional Materials 1
Nature Geoscience 1
Reviews of Geophysics 1
Earth System Dynamics 1
Water Research 1
Earth system science data 1

Filtering Criteria

Topics: hydrology, hydrologic model, river, runoff, streamflow, reservoir, water management, flood, drought, seasonal, land surface model, climate change, hydropower, surface water, irrigation, earth system model

Databases: Semantic Scholar, OpenAlex

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