scholarly journals Regional Water Balance Based on Remotely Sensed Evapotranspiration and Irrigation: An Assessment of the Haihe Plain, China

2014 ◽  
Vol 6 (3) ◽  
pp. 2514-2533 ◽  
Author(s):  
Yanmin Yang ◽  
Yonghui Yang ◽  
Deli Liu ◽  
Tom Nordblom ◽  
Bingfang Wu ◽  
...  
Keyword(s):  
Water Balance ◽  
Remotely Sensed ◽  
Regional Water

Regional Water Balance and Economic Assessment as Tools for Water Management in Coastal Lebanon

2008 ◽  
Vol 23 (11) ◽  
pp. 2361-2378 ◽  
Author(s):  
Daniel El Chami ◽  
Maroun El Moujabber ◽  
Alessandra Scardigno
Keyword(s):  
Water Management ◽  
Water Balance ◽  
Economic Assessment ◽  
Regional Water

scholarly journals A new method to improve the accuracy of remotely sensed data for wetland water balance estimates

2020 ◽  
Vol 29 ◽  
pp. 100689
Author(s):  
Shengyang Chen ◽  
Fiona Johnson ◽  
Chris Drummond ◽  
William Glamore
Keyword(s):  
Water Balance ◽  
Remotely Sensed ◽  
New Method ◽  
Remotely Sensed Data ◽  
Wetland Water

Lake Michigan Beach-Ridge and Dune Development, Lake Level, and Variability in Regional Water Balance

1995 ◽  
Vol 44 (2) ◽  
pp. 181-189 ◽  
Author(s):  
John Lichter
Keyword(s):  
Water Balance ◽  
Lake Level ◽  
Lake Michigan ◽  
Plant Macrofossils ◽  
Time Intervals ◽  
Beach Ridges ◽  
Average Return ◽  
High Lake Level ◽  
High Level ◽  
Regional Water

AbstractA sequence of northern Lake Michigan beach ridges records lake-level fluctuations that are probably related to changes in late Holocene climate. Historically, episodes of falling and low lake level associated with regional drought led to the formation of dune-capped beach ridges. The timing of prehistoric ridge formation, estimated by radiocarbon dating of plant macrofossils from early-successional dune species, shows that return periods of inferred drought, averaged for time intervals of 100 to 480 yr, ranged between 17 and 135 yr per drought during the last 2400 yr. In five of ten of these time intervals, the average return period ranged between 17 and 22 yr per drought. These intervals of frequent ridge formation and drought were associated with the development of parabolic dunes, which is indicative of high lake level and moist climate. This seeming paradox suggests that unusually moist decades alternated with unusually dry decades during these time intervals. Regional water balance probably varied less during the time intervals when ridges formed less often and the lake produced no evidence of high level.

scholarly journals A simple method for water balance estimation based on the empirical method and remotely sensed evapotranspiration estimates

2020 ◽  
Vol 22 (2) ◽  
pp. 440-451
Author(s):  
George Falalakis ◽  
Alexandra Gemitzi
Keyword(s):  
Water Balance ◽  
Performance Metrics ◽  
Empirical Relationship ◽  
Remotely Sensed ◽  
Empirical Method ◽  
Data Availability ◽  
Water Balance Components ◽  
Time Step ◽  
Simple Method ◽  
Satisfactory Outcome

Abstract Developing a methodology for water balance estimation is a significant challenge, especially in areas with little or no gauging. This is because direct measurements of all the water balance components are not feasible. To overcome this issue, we propose a simple methodology based on the predefined empirical relationship between remotely sensed evapotranspiration (ET), i.e. Moderate Resolution Imaging Spectroradiometer (MODIS) ET and groundwater recharge (GR), and readily available precipitation data at the monthly time step. The developed methodology was applied in seven catchments in NE Greece using time series of precipitation and remotely sensed ET from 2009 to 2019. The potential of the proposed method to accurately estimate the water balance was assessed by the comparison of the individual water balance components against modeled values. Three performance metrics were examined and indicated that the methodology produces a satisfactory outcome. Our results indicated mean ET accounting for approximately 54% of precipitation, mean GR of 24% and mean surface runoff approximately 22% of precipitation in the study area. The proposed approach was implemented using freely available remotely sensed products and the free R software for statistical computing and graphics, offering thus a convenient and inexpensive alternative for water balance estimation, even for basins with limited data availability.

scholarly journals Macroscale estimation of evaporation from regional water balance

1985 ◽  
Vol 30 (3) ◽  
pp. 383-394 ◽  
Author(s):  
MING-KO WOO ◽  
PETER R. WAYLEN
Keyword(s):  
Water Balance ◽  
Regional Water

scholarly journals Data-driven estimates of evapotranspiration and its drivers in the Congo Basin

2020 ◽  
Author(s):  
Michael W. Burnett ◽  
Gregory R. Quetin ◽  
Alexandra G. Konings
Keyword(s):  
Water Balance ◽  
Interannual Variability ◽  
Global Climate ◽  
Weighted Average ◽  
Remotely Sensed ◽  
Congo Basin ◽  
Balance Model ◽  
Climate Data ◽  
Atmospheric Co2 Concentrations

Abstract. Evapotranspiration (ET) from tropical forests serves as a critical moisture source for regional and global climate cycles. However, the magnitude, seasonality, and interannual variability of ET in the Congo Basin remain poorly constrained due to a scarcity of direct observations, despite it being the second-largest river basin the world and containing a vast region of tropical forest. In this study, we applied a water balance model to an array of remotely-sensed and in-situ datasets to produce monthly, basin-wide ET estimates spanning April 2002 to November 2016. Data sources include water storage changes estimated from the Gravity Recover and Climate Experiment (GRACE) satellites, in-situ measurements of river discharge, and precipitation from several remotely sensed sources. An optimal precipitation dataset was determined as a weighted average of interpolated data by Nicholson et al. (2018), Climate Hazards Infrared Precipitation with Station Version 2 (CHIRPS2) data, and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks−Climate Data Record product (PERSIANN−CDR), with the relative weights based on the error magnitudes in each dataset as determined by triple collocation. The resulting water balance-derived ET (ETwb) features a long-term average that is consistent with previous studies (117.2 ± 3.5 cm/year), but displays greater seasonal and interannual variability than six global ET products. The seasonal cycle of ETwb generally tracks that of precipitation over the basin, with the exception that ETwb is greater in March–April–May (MAM) than in the relatively wetter September–October–November (SON) periods. This pattern appears to be driven by seasonal variations in diffuse photosynthetically-active radiation (PAR) fraction, net radiation (Rn), and soil water availability. From 2002–2016, Rn, PAR, and vapor-pressure deficit (VPD) all increase significantly within the Congo Basin; however, no corresponding trend occurred in ETwb. We hypothesize that the stability of ETwb over the study period despite sunnier and less humid conditions is likely due to increasing atmospheric CO2 concentrations that offset the impacts of rising VPD and irradiance on stomatal water use efficiency (WUE).

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