Monitoring of extreme land hydrology events in central Poland using GRACE, land surface models and absolute gravity data

2019 ◽  
Vol 13 (3) ◽  
pp. 229-243 ◽  
Author(s):  
Joanna Kuczynska-Siehien ◽  
Dimitrios Piretzidis ◽  
Michael G. Sideris ◽  
Tomasz Olszak ◽  
Viktor Szabó
Keyword(s):  
Land Surface ◽  
Gravity Data ◽  
Absolute Gravity ◽  
Severe Drought ◽  
Data Sets ◽  
Land Surface Models ◽  
Multiple Sources ◽  
Central Poland ◽  
Extreme Flood ◽  
Surface Models

Abstract This study deals with the analysis of temporal gravity variations in central Poland, deduced from multiple sources and covering the period from 2002–2016. The gravity data sets used comprise GRACE monthly solutions, GLDAS land surface models and absolute gravimeter measurements from the FG-5 gravimeter located in Józefosław, Poland. All data are corrected using standard processing methods in order to include the same gravity effects. After removing the annual and semi-annual components from all data using least-squares spectral analysis and seasonal-trend decomposition, the deseasoned time series are derived and examined for signatures of extreme hydrological events. The signatures of several severe drought and flood conditions affecting Poland and central Europe are identified. A complementary correlation analysis is performed to assess the level of agreement between different data sources. A higher correlation is shown when the analysis is restricted in the 2009–2012 period that includes the 2010 extreme flood and 2011 increased precipitation events, both affecting Poland.

GRACE and land surface models reveal severe drought in eastern China in 2019

2021 ◽  
pp. 126640
Author(s):  
Xiao Yan ◽  
Bao Zhang ◽  
Yibin Yao ◽  
Yuanjian Yang ◽  
Junyu Li ◽  
...  
Keyword(s):  
Land Surface ◽  
Eastern China ◽  
Severe Drought ◽  
Land Surface Models ◽  
Surface Models

scholarly journals Global terrestrial water storage connectivity revealed using complex climate network analyses

2015 ◽  
Vol 22 (4) ◽  
pp. 433-446 ◽  
Author(s):  
A. Y. Sun ◽  
J. Chen ◽  
J. Donges
Keyword(s):  
Spatial Patterns ◽  
Land Surface ◽  
Water Storage ◽  
Data Sets ◽  
Terrestrial Water Storage ◽  
Land Surface Models ◽  
Data Set ◽  
Surface Models ◽  
Global Land ◽  
Terrestrial Water

Abstract. Terrestrial water storage (TWS) exerts a key control in global water, energy, and biogeochemical cycles. Although certain causal relationship exists between precipitation and TWS, the latter quantity also reflects impacts of anthropogenic activities. Thus, quantification of the spatial patterns of TWS will not only help to understand feedbacks between climate dynamics and the hydrologic cycle, but also provide new insights and model calibration constraints for improving the current land surface models. This work is the first attempt to quantify the spatial connectivity of TWS using the complex network theory, which has received broad attention in the climate modeling community in recent years. Complex networks of TWS anomalies are built using two global TWS data sets, a remote sensing product that is obtained from the Gravity Recovery and Climate Experiment (GRACE) satellite mission, and a model-generated data set from the global land data assimilation system's NOAH model (GLDAS-NOAH). Both data sets have 1° × 1° grid resolutions and cover most global land areas except for permafrost regions. TWS networks are built by first quantifying pairwise correlation among all valid TWS anomaly time series, and then applying a cutoff threshold derived from the edge-density function to retain only the most important features in the network. Basinwise network connectivity maps are used to illuminate connectivity of individual river basins with other regions. The constructed network degree centrality maps show the TWS anomaly hotspots around the globe and the patterns are consistent with recent GRACE studies. Parallel analyses of networks constructed using the two data sets reveal that the GLDAS-NOAH model captures many of the spatial patterns shown by GRACE, although significant discrepancies exist in some regions. Thus, our results provide further measures for constraining the current land surface models, especially in data sparse regions.

scholarly journals Towards a public, standardized, diagnostic benchmarking system for land surface models

2012 ◽  
Vol 5 (3) ◽  
pp. 819-827 ◽  
Author(s):  
G. Abramowitz
Keyword(s):  
Land Surface ◽  
A Priori ◽  
Model Performance ◽  
Land Surface Model ◽  
Surface Model ◽  
Data Sets ◽  
Land Surface Models ◽  
Surface Models ◽  
Definition Of ◽  
Benchmarking System

Abstract. This work examines different conceptions of land surface model benchmarking and the importance of internationally standardized evaluation experiments that specify data sets, variables, metrics and model resolutions. It additionally demonstrates how essential the definition of a priori expectations of model performance can be, based on the complexity of a model and the amount of information being provided to it, and gives an example of how these expectations might be quantified. Finally, the Protocol for the Analysis of Land Surface models (PALS) is introduced – a free, online land surface model benchmarking application that is structured to meet both of these goals.

A Simple Reclassification Method for Correcting Uncertainty in Land Use/Land Cover Data Sets Used with Land Surface Models

2007 ◽  
Vol 164 (8-9) ◽  
pp. 1789-1809 ◽  
Author(s):  
Joseph G. Alfieri ◽  
Dev Niyogi ◽  
Margaret A. LeMone ◽  
Fei Chen ◽  
Souleymane Fall
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Surface ◽  
Data Sets ◽  
Land Use Land Cover ◽  
Land Surface Models ◽  
Land Cover Data ◽  
Surface Models

scholarly journals HESS Opinions "A perspective on isotope versus non-isotope approaches to determine the contribution of transpiration to total evaporation"

2014 ◽  
Vol 18 (8) ◽  
pp. 2815-2827 ◽  
Author(s):  
S. J. Sutanto ◽  
B. van den Hurk ◽  
P. A. Dirmeyer ◽  
S. I. Seneviratne ◽  
T. Röckmann ◽  
...  
Keyword(s):  
Land Surface ◽  
Hydrological Cycle ◽  
Climate Modeling ◽  
Global Climate ◽  
Climatic Conditions ◽  
Data Sets ◽  
Land Surface Models ◽  
Total Evaporation ◽  
Surface Models ◽  
Methodological Aspects

Abstract. Current techniques to disentangle the evaporative fluxes from the continental surface into a contribution evaporated from soils and canopy, or transpired by plants, are under debate. Many isotope-based studies show that transpiration contributes generally more than 70% to the total evaporation, while other isotope-independent techniques lead to considerably smaller transpiration fractions. This paper provides a perspective on isotope-based versus non-isotope-based partitioning studies. Some partitioning results from isotope-based methods, hydrometric measurements, and modeling are presented for comparison. Moreover, the methodological aspects of the partitioning analysis are considered, including their limitations, and explanations of possible discrepancies between the methods are discussed. We suggest sources of systematic error that may lead to biases in the results, e.g., instruments inaccuracy, assumptions used in analyses, and calibration parameters. A number of comparison studies using isotope-based methods and hydrometric measurements in the same plants and climatic conditions are consistent within the errors; however, models tend to produce lower transpiration fractions. The relatively low transpiration fraction in current state-of-the-art land-surface models calls for a reassessment of the skill of the underlying model parameterizations. The scarcity of global evaporation data makes calibration and validation of global isotope-independent and isotope-based results difficult. However, isotope-enabled land-surface and global climate modeling studies allow for the evaluation of the parameterization of land-surface models by comparing the computed water isotopologue signals in the atmosphere with the available remote sensing and flux-based data sets. Future studies that allow for this evaluation could provide a better understanding of the hydrological cycle in vegetated regions.

scholarly journals HESS Opinions: A perspective on different approaches to determine the contribution of transpiration to the surface moisture fluxes

2014 ◽  
Vol 11 (3) ◽  
pp. 2583-2612 ◽  
Author(s):  
S. J. Sutanto ◽  
B. van den Hurk ◽  
G. Hoffmann ◽  
J. Wenninger ◽  
P. A. Dirmeyer ◽  
...  
Keyword(s):  
Land Surface ◽  
Hydrological Cycle ◽  
Climate Modeling ◽  
Global Climate ◽  
Climatic Conditions ◽  
Data Sets ◽  
Land Surface Models ◽  
Surface Models ◽  
Moisture Fluxes ◽  
Evaporative Flux

Abstract. Current techniques to disentangle the total evaporative flux from the continental surface into a contribution evaporated from soils and canopy, or transpired by plants are under debate. Many isotope-based studies show that transpiration contributes generally more than 70% to the total moisture fluxes, while other isotope-independent techniques lead to considerably smaller transpiration fractions. This paper provides a perspective on isotope-based vs. non isotope-based partitioning studies. Some partitioning results from isotope-based methods, hydrometric measurements, and modeling are presented for comparison. Moreover, the methodological aspects of the analysis of partitioning are discussed including their limitations, and explanations of possible discrepancies between the methods are briefly discussed. We conclude that every method has its own uncertainties and these may lead to a high bias in the results, e.g. instruments inaccuracy and error, some assumptions used in analyses, parameters calibration. A number of comparison studies using isotope-based methods and hydrometric measurements in the same plants and climatic conditions are consistent within the errors, however, models tend to produce lower transpiration fractions. The relatively low transpiration fractions in current state of the art land surface models calls for a reassessment of the skill of the underlying model parameterizations. The scarcity of global evaporation data makes calibration and validation of global isotope-independent and isotope-based results difficult. However, isotope enabled land-surface and global climate modeling studies allow the evaluation of the parameterization of land surface models by comparing the computed water isotopologue signals in the atmosphere with the available remote sensing and flux-based data sets. Future studies that allow this evaluation could provide a better understanding of the hydrological cycle in vegetated regions.

scholarly journals Towards a public, standardized, diagnostic benchmarking system for land surface models

2012 ◽  
Vol 5 (1) ◽  
pp. 549-570 ◽  
Author(s):  
G. Abramowitz
Keyword(s):  
Land Surface ◽  
A Priori ◽  
Model Performance ◽  
Land Surface Model ◽  
Surface Model ◽  
Data Sets ◽  
Land Surface Models ◽  
Surface Models ◽  
Definition Of ◽  
Benchmarking System

Abstract. We examine different conceptions of land surface model benchmarking and illustrate the importance of internationally standardized evaluation experiments that specify data sets, variables, metrics and model resolutions. We additionally show how essential the definition of a priori expectations of model performance can be, based on the complexity of a model and the amount of information being provided to it, and give an example of how these expectations might be quantified. Finally, we introduce the Protocol for the Analysis of Land Surface models (PALS), a free, online land surface model benchmarking application, and show how it is structured to meet both of these goals.

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