Terrestrial Water Cycle Research Articles

Quantitative assessments of water-use efficiency in Temperate Eurasian Steppe along an aridity gradient.

Water-use efficiency (WUE), defined as the ratio of net primary productivity (NPP) to evapotranspiration (ET), is an important indicator to represent the trade-off pattern between vegetation productivity and water consumption. Its dynamics under climate change are important to ecohydrology and ecosystem management, especially in the drylands. In this study, we modified and used a late version of Boreal Ecosystem Productivity Simulator (BEPS), to quantify the WUE in the typical dryland ecosystems, Temperate Eurasian Steppe (TES). The Aridity Index (AI) was used to specify the terrestrial water availability condition. The regional results showed that during the period of 1999–2008, the WUE has a clear decreasing trend in the spatial distribution from arid to humid areas. The highest annual average WUE was in dry and semi-humid sub-region (DSH) with 0.88 gC mm-1 and the lowest was in arid sub-region (AR) with 0.22 gC mm-1. A two-stage pattern of WUE was found in TES. That is, WUE would enhance with lower aridity stress, but decline under the humid environment. Over 65% of the region exhibited increasing WUE. This enhancement, however, could not indicate that the grasslands were getting better because the NPP even slightly decreased. It was mainly attributed to the reduction of ET over 70% of the region, which is closely related to the rainfall decrease. The results also suggested a similar negative spatial correlation between the WUE and the mean annual precipitation (MAP) at the driest and the most humid ends. This regional pattern reflected the different roles of water in regulating the terrestrial ecosystems under different aridity levels. This study could facilitate the understanding of the interactions between terrestrial carbon and water cycles, and thus contribute to a sustainable management of nature resources in the dryland ecosystems.

How do leaf and ecosystem measures of water-use efficiency compare?

The terrestrial carbon and water cycles are intimately linked: the carbon cycle is driven by photosynthesis, while the water balance is dominated by transpiration, and both fluxes are controlled by plant stomatal conductance. The ratio between these fluxes, the plant water-use efficiency (WUE), is a useful indicator of vegetation function. WUE can be estimated using several techniques, including leaf gas exchange, stable isotope discrimination, and eddy covariance. Here we compare global compilations of data for each of these three techniques. We show that patterns of variation in WUE across plant functional types (PFTs) are not consistent among the three datasets. Key discrepancies include the following: leaf-scale data indicate differences between needleleaf and broadleaf forests, but ecosystem-scale data do not; leaf-scale data indicate differences between C3 and C4 species, whereas at ecosystem scale there is a difference between C3 and C4 crops but not grasslands; and isotope-based estimates of WUE are higher than estimates based on gas exchange for most PFTs. Our study quantifies the uncertainty associated with different methods of measuring WUE, indicates potential for bias when using WUE measures to parameterize or validate models, and indicates key research directions needed to reconcile alternative measures of WUE.

Beyond the water balance

The terrestrial water cycle is often assessed annually at catchment scale. But water stored in catchments is poorly mixed, and at timescales often well beyond the calculation of annual water balance.

Book Review — Remote Sensing of the Terrestrial Water Cycle

Book Review — <i>Remote Sensing of the Terrestrial Water Cycle</i>

Evaluating climate and soil effects on regional soil moisture spatial variability using EOFs

AbstractSoil moisture is an important state variable in terrestrial water cycles; however, only few studies are available on regional soil moisture spatial variability (SMSV), which yielded inconsistent findings about regional controls on SMSV. Here, long‐term soil moisture data were obtained from the Automated Weather Data Network and Soil Climate Analysis Network in three regions with different climate regimes across the continental U.S. Comprehensive data sets were compiled to examine regional controls on SMSV using the method of Empirical Orthogonal Function. One dominant spatial structure (EOF1) of soil moisture was found in the study regions, which explained over 75%, 67%, and 86% of the spatial variance in soil moisture in Nebraska, Utah, and the Southeast U.S., respectively. Despite the significant spatial variability in precipitation and potential evapotranspiration in all the study regions, the results showed that meteorological forcings had limited effects on regional SMSV in those regions with different climatic conditions, which differed from the traditional notion that SMSV is mainly controlled by meteorological forcings at the scale from 50 to 400 km. Instead, local factors related to soil (e.g., sand and clay fractions) were found to have significant correlations with EOF1, although the effects of other local factors (e.g., topography and vegetation) were generally negligible. This study provides strong field evidence that soil can exert much stronger impacts on regional SMSV than previously thought, which can override the effects of meteorological forcings. Future studies are still needed to elaborate on the relative roles of climate and soil in affecting regional SMSV.

Coverage-dependent amplifiers of vegetation change on global water cycle dynamics

The terrestrial water cycle describes the circulation of water worldwide from one store to another via repeated evapotranspiration (E) from land and precipitation (P) back to the surface. The cycle presents significant spatial variability, which is strongly affected by natural climate and anthropogenic influences. As one of the major anthropogenic influences, vegetation change unavoidably alters surface property and subsequent the terrestrial water cycle, while its contribution is yet difficult to isolate from the mixed influences. Here, we use satellite and in-situ datasets to identify the terrestrial water cycle dynamics in spatial detail and to evaluate the impact of vegetation change. Methodologically, the water cycle is identified by the indicator of difference between evapotranspiration and precipitation (E-P). Then the scalar form of the indicator’s trend (ΔE+ΔP) is used for evaluating the dynamics of water cycle, with the positive value means acceleration and negative means deceleration. Then, the contributions of climate and vegetation change are isolated by the trajectory-based method. Our results indicate that 4 accelerating and 4 decelerating water cycles can be identified, affecting 42.11% of global land. The major water cycle type is characterized by non-changing precipitation and increasing evapotranspiration (PNO-EIN), which covers 20.88% of globally land. Vegetation change amplifies both accelerating and decelerating water cycles. It tends to intensify the trend of the decelerating water cycles, while climate change weakens the trend. In the accelerating water cycles, both vegetation and climate change present positive effect to intensify the trend. The effect of plant cover change varies with the coverage. In particular, vegetation change intensifies the water cycle in moderately vegetated regions (0.1<NDVI<0.6), but weakens the cycle in sparsely or highly vegetated regions (NDVI<0.1 or 0.6<NDVI<0.8). In extremely vegetated regions (NDVI>0.85), the water cycle is accelerated because of the significant increase of precipitation. We conclude that vegetation change acts as an amplifier for both accelerating and decelerating terrestrial water cycles, depending on the degree of vegetation coverage.

Implementation of evapotranspiration data assimilation with catchment scale distributed hydrological model via an ensemble Kalman Filter

Terrestrial actual evapotranspiration (ETa) is a crucial component of terrestrial water cycles. The most common methods of estimating catchment-scale ETa are remote sensing and hydrological models. These methods have limitations when applied at the catchment scale due to coarse resolutions of data and uncertainties in model predictions. Data assimilation techniques that combine complementary information from hydrological models and observed data can overcome some of the limitations. These techniques have been used in many hydrological modeling studies, but few have applied data assimilation to ETa within a distributed precipitation-runoff catchment modeling framework. This paper proposes a catchment scale ETa data assimilation technique (termed ET-DA) that assimilates remotely sensed ETa data into a distributed time-variant gain hydrological model (DTVGM-ET) for improving hydrological model simulations. The DTVGM-ET improved the ETa computation on the basis of a nonlinear soil water availability function to establish an explicit time response relationship between ETa and soil moisture for implementing the ETa assimilation. The proposed ET-DA system was tested in the Upper Huai River Basin (UHRB), China using data from 2000 to 2012. Through synthetic simulation experiments, the capability of ET-DA for obtaining accurate, continuous time series of ETa estimates and achieving assimilation feedback on soil moisture and streamflow was examined. The results demonstrated that ET-DA provided improved regional ETa monitoring capability, and assimilation of ETa into the hydrological model led to improved model predictions of soil moisture and streamflow.

Potential of satellite‐based land emissivity estimates for the detection of high‐latitude freeze and thaw states

AbstractReliable detection of freeze and thaw (FT) states is crucial for the terrestrial water cycle, biogeochemical transitions, carbon and methane feedback to the atmosphere, and for the surface energy budget and its associated impacts on the global climate system. This paper is novel in that for the first time a unique approach to examine the potential of passive microwave remotely sensed land emissivity and its added values of being free from the atmospheric effects and being sensitive to surface characteristics is being applied to the detection of FT states for latitudes north of 35°N. Since accurate characterizations of the soil state are highly dependent on land cover types, a novel threshold‐based approach specific to different land cover types is proposed for daily FT detection from the use of 3 years (August 2012 to July 2015) of the Advanced Microwave Scanning Radiometer‐2 land emissivity estimates. Ground‐based soil temperature observations are used as reference to develop threshold values for FT states. Preliminary evaluation of the proposed approach with independent ground observations over Alaska for the year 2015 shows that the use of land emissivity estimates for high‐latitude FT detection is promising.

Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations

Abstract. Estimates of terrestrial water storage (TWS) variations from the Gravity Recovery and Climate Experiment (GRACE) satellite mission are used to assess the accuracy of four global numerical model realizations that simulate the continental branch of the global water cycle. Based on four different validation metrics, we demonstrate that for the 31 largest discharge basins worldwide all model runs agree with the observations to a very limited degree only, together with large spreads among the models themselves. Since we apply a common atmospheric forcing data set to all hydrological models considered, we conclude that those discrepancies are not entirely related to uncertainties in meteorologic input, but instead to the model structure and parametrization, and in particular to the representation of individual storage components with different spatial characteristics in each of the models. TWS as monitored by the GRACE mission is therefore a valuable validation data set for global numerical simulations of the terrestrial water storage since it is sensitive to very different model physics in individual basins, which offers helpful insight to modellers for the future improvement of large-scale numerical models of the global terrestrial water cycle.

Variations in annual water-energy balance and their correlations with vegetation and soil moisture dynamics: A case study in the Wei River Basin, China

It is of importance to investigate watershed water-energy balance variations and to explore their correlations with vegetation and soil moisture dynamics, which helps better understand the interplays between underlying surface dynamics and the terrestrial water cycle. The heuristic segmentation method was adopted to identify change points in the parameter ω series in Fu’s equation belonging to the Budyko framework in the Wei River Basin (WRB) and its sub-basins aiming to examine the validity of stationary assumptions. Additionally, the cross wavelet analysis was applied to explore the correlations between vegetation and soil moisture dynamics and ω variations. Results indicated that (1) the ω variations in the WRB are significant, with some change points identified except for the sub-basin above Zhangjiashan, implying that the stationarity of ω series in the WRB is invalid except for the sub-basin above Zhangjiashan; (2) the correlations between soil moisture series and ω series are weaker than those between Normalized Difference Vegetation Index (NDVI) series and ω series; (3) vegetation dynamics show significantly negative correlations with ω variations in 1983–2003 with a 4–8year signal in the whole WRB, and both vegetation and soil moisture dynamics exert strong impacts on the parameter ω changes. This study helps understanding the interactions between underlying land surface dynamics and watershed water-energy balance.

Effects of soil‐type datasets on regional terrestrial water cycle simulations under different climatic regimes

AbstractHydrological simulations play an important role in estimating terrestrial water budgets and monitoring extreme events such as floods. This study investigates how these simulations are affected by soil‐type datasets and characterizes how these effects vary with climate. We study the differences between two ensemble simulations in China with the Noah‐MP land surface model using two soil datasets from the Food and Agriculture Organization and Beijing Normal University. The differences in ensemble means are analyzed over a 10 year period from 2003 to 2012 with respect to estimated soil moisture, the partition of precipitation between evapotranspiration and runoff, and a flood magnitude index. Results show that the hydrological simulations using sandier soil types result in lower soil moisture, lower evapotranspiration, and higher subsurface runoff. Each of these effects varies uniquely with aridity. The changes in soil moisture decrease with increasing aridity, while the changes in water balance components (evapotranspiration and runoff) peak in the transitional zone between humid and arid regions. The flood magnitude, expressed as the maximum daily flow normalized by annual flow, is also substantially influenced by the input soil type. Soil types with more clay and less sand content yield significantly bigger floods, especially in arid regions.

Ensuring A Better Water Future for Malaysia

Human overuse of water resources and diffuse contamination of freshwater are stressing the water resources in the terrestrial water cycle. As a consequence, the ecological functions of water bodies, soils and groundwater in the water cycle are hampered and being further exacerbated by threats from impending climate change. Though Malaysia is blessed with fairly abundant rainfall it still has its fair share of water woes, such as occasional droughts, looding and pollution of its rivers and water bodies. Only recently, the country was faced with water related hazards of fairly disastrous proportions. Recurring potable water shortages that occurred in 2014 and 2015 in several states had led to water rationing. Malaysia has since the early 1990s set its vision to become a fully developed country by the year 2020 (Vision 2020). The transformation of the water sector must also evolve in tandem to meet sustainable development goals beitting a developed nation status by 2020. The National Water Resources Policy (NWRP), launched in March 2012, is based on the 3 essential principles i.e. water resources security, water resources sustainability and collaborative governance. This paper will review the various water-related issues and challenges whilst proposing the implementation of the Integrated Water Resources Management (IWRM) Road Map including the measures to be undertaken to effect the transformation of the water sector in pursuit of Vision 2020 and to achieve the post 2015 Sustainable Development Goals (SDGs). The indings and recommendations are largely based on several in-depth studies undertaken by the Academy of Sciences, Malaysia (ASM) pertaining to the water sector and the IWRM agenda.

Ensuring A Better Water Future for Malaysia

Human overuse of water resources and diffuse contamination of freshwater are stressing the water resources in the terrestrial water cycle. As a consequence, the ecological functions of water bodies, soils and groundwater in the water cycle are hampered and being further exacerbated by threats from impending climate change. Though Malaysia is blessed with fairly abundant rainfall it still has its fair share of water woes, such as occasional droughts, looding and pollution of its rivers and water bodies. Only recently, the country was faced with water related hazards of fairly disastrous proportions. Recurring potable water shortages that occurred in 2014 and 2015 in several states had led to water rationing. Malaysia has since the early 1990s set its vision to become a fully developed country by the year 2020 (Vision 2020). The transformation of the water sector must also evolve in tandem to meet sustainable development goals beitting a developed nation status by 2020. The National Water Resources Policy (NWRP), launched in March 2012, is based on the 3 essential principles i.e. water resources security,water resources sustainability and collaborative governance. This paper will review the various water-related issues and challenges whilst proposing the implementation of the Integrated Water Resources Management (IWRM) Road Map including the measures to be undertaken to effect the transformation of the water sector in pursuit of Vision 2020 and to achieve the post 2015 Sustainable Development Goals (SDGs). The indings and recommendations are largely based on several in-depth studies undertaken by the Academy of Sciences, Malaysia (ASM) pertaining to the water sector and the IWRM agenda.

Interannual variability in Australia's terrestrial carbon cycle constrained by multiple observation types

Abstract. Recent studies have shown that semi-arid ecosystems in Australia may be responsible for a significant part of the interannual variability in the global concentration of atmospheric carbon dioxide. Here we use a multiple constraints approach to calibrate a land surface model of Australian terrestrial carbon and water cycles, with a focus on interannual variability. We use observations of carbon and water fluxes at 14 OzFlux sites, as well as data on carbon pools, litterfall and streamflow. We include calibration of the function describing the response of heterotrophic respiration to soil moisture. We also explore the effect on modelled interannual variability of parameter equifinality, whereby multiple combinations of parameters can give an equally acceptable fit to the calibration data. We estimate interannual variability of Australian net ecosystem production (NEP) of 0.12–0.21 PgC yr−1 (1σ) over 1982–2013, with a high anomaly of 0.43–0.67 PgC yr−1 in 2011 relative to this period associated with exceptionally wet conditions following a prolonged drought. The ranges are due to the effect on calculated NEP anomaly of parameter equifinality, with similar contributions from equifinality in parameters associated with net primary production (NPP) and heterotrophic respiration. Our range of results due to parameter equifinality demonstrates how errors can be underestimated when a single parameter set is used.

Potential and visible evaporation and its variations in European Russia over the recent 50 years by experimental data

Variations in pan evaporation in European Russia from 1951 to 2010 have been studied, and regions with specific variations of potential evaporation have been identified. It is shown that evaporation decseases all over the territory under consideration, and intensity of its decreasing up to the late 1970s was far in excess of that in the decades that followed. The decrease in the variations in evaporation may be regarded as an indicator of reduction of intensity of heat and moisture exchange between the underlying surface and the atmosphere. A new characteristic of the moisture regime of the territory, i.e., visible evaporation, was introduced to characterize, in this case, the amount of free moisture in the atmosphere that can be involved in the terrestrial water cycle. The humidity of the territory in the European Russia has shown to have increased since 1966. Regions where changes in the moisture regime show common patterns have been identified and the specific features of humidity distribution in different natural zones of European Russia have been assessed.

Incorporation of globally available datasets into the roving cosmic-ray neutron probe method for estimating field-scale soil water content

Abstract. The need for accurate, real-time, reliable, and multi-scale soil water content (SWC) monitoring is critical for a multitude of scientific disciplines trying to understand and predict the Earth's terrestrial energy, water, and nutrient cycles. One promising technique to help meet this demand is fixed and roving cosmic-ray neutron probes (CRNPs). However, the relationship between observed low-energy neutrons and SWC is affected by local soil and vegetation calibration parameters. This effect may be accounted for by a calibration equation based on local soil type and the amount of vegetation. However, determining the calibration parameters for this equation is labor- and time-intensive, thus limiting the full potential of the roving CRNP in large surveys and long transects, or its use in novel environments. In this work, our objective is to develop and test the accuracy of globally available datasets (clay weight percent, soil bulk density, and soil organic carbon) to support the operability of the roving CRNP. Here, we develop a 1 km product of soil lattice water over the continental United States (CONUS) using a database of in situ calibration samples and globally available soil taxonomy and soil texture data. We then test the accuracy of the global dataset in the CONUS using comparisons from 61 in situ samples of clay percent (RMSE = 5.45 wt %, R2 = 0.68), soil bulk density (RMSE = 0.173 g cm−3, R2 = 0.203), and soil organic carbon (RMSE = 1.47 wt %, R2 = 0.175). Next, we conduct an uncertainty analysis of the global soil calibration parameters using a Monte Carlo error propagation analysis (maximum RMSE ∼ 0.035 cm3 cm−3 at a SWC = 0.40 cm3 cm−3). In terms of vegetation, fast-growing crops (i.e., maize and soybeans), grasslands, and forests contribute to the CRNP signal primarily through the water within their biomass and this signal must be accounted for accurate estimation of SWC. We estimated the biomass water signal by using a vegetation index derived from MODIS imagery as a proxy for standing wet biomass (RMSE &lt; 1 kg m−2). Lastly, we make recommendations on the design and validation of future roving CRNP experiments.

Responses of plant water use to a severe summer drought for two subtropical tree species in the central southern China

Abstract Study region Western suburb of Changsha, Hunan Province, the central southern China. Study focus Plant transpiration plays a significant role in the terrestrial water cycle and is closely associated with ecosystem primary production. Summer drought in the study area poses a stress on plant water use and associated carbon assimilation in growing season. In this study, water use response of two evergreen tree species to variation in environmental conditions was examined during a severe summer drought. New hydrological insights The results show that a decrease in water use during the drought for both two species is closely associated with an increase in vapor pressure deficit and a decrease in stem water potential. The two species appear to be anisohydric, but to a different degree in response to the drought. The hydrodynamic water potential gradient (Δψ) maintains relatively constant with an average value of 0.59 MPa for C. camphora, and 1.59 MPa for O. fragrans. O. fragrans is less sensitive to drought than C. camphora, while C. camphora shows an effective survival mechanism via leaf shedding and dieback of shoots.

Urban water development in La Paz, Mexico 1960-present: a hydrosocial perspective

The impact of human activity in the terrestrial water cycle is not contested, yet social data are not fully explained, observed, or shared. This is especially true among low- and middle-income countries. This paper enters the conversation on hydrosocial systems to diagram a watershed in urban Mexico which highlights the historical, biophysical, economic, and cultural relations embedded in the development of urban water infrastructure. Our critical hydrosocial perspective, situated in political ecology and hydrology science, addresses the challenges of managing water resources for a growing population in a desert city. We integrate hydrological and historical data to show how broadening the scale of study from the political boundary of the city to the physical boundary of the watershed identifies human impacts on the water cycle and exposes uneven water allocation under drought conditions. An inclusive review of the historical development of urban water infrastructure in the city challenges the traditional ideas of separation of urban and rural water users in the production of sustainable communities and waterscapes.

Deciduous trees are a large and overlooked sink for snowmelt water in the boreal forest

The terrestrial water cycle contains large uncertainties that impact our understanding of water budgets and climate dynamics. Water storage is a key uncertainty in the boreal water budget, with tree water storage often ignored. The goal of this study is to quantify tree water content during the snowmelt and growing season periods for Alaskan and western Canadian boreal forests. Deciduous trees reached saturation between snowmelt and leaf-out, taking up 21–25% of the available snowmelt water, while coniferous trees removed <1%. We found that deciduous trees removed 17.8–20.9 billion m3 of snowmelt water, which is equivalent to 8.7–10.2% of the Yukon River’s annual discharge. Deciduous trees transpired 2–12% (0.4–2.2 billion m3) of the absorbed snowmelt water immediately after leaf-out, increasing favorable conditions for atmospheric convection, and an additional 10–30% (2.0–5.2 billion m3) between leaf-out and mid-summer. By 2100, boreal deciduous tree area is expected to increase by 1–15%, potentially resulting in an additional 0.3–3 billion m3 of snowmelt water removed from the soil per year. This study is the first to show that deciduous tree water uptake of snowmelt water represents a large but overlooked aspect of the water balance in boreal watersheds.

Developments in Remote Sensing Techniques for Hydrological Studies

Observations and modeling of terrestrial water cycle is important for sustainable management of water resources as well as understanding the impact of climate change. Satellites provide an important role in measurements of various dimensions of water cycle components in spatio-temporal domain. Paper reviews the scientific basis and techniques of retrieval of various hydro-meteorological parameters (Rainfall, Soil Moisture, Evapo-transpiration, Groundwater, Water level, Surface Runoff, conjunctive water utilization and Water quality etc.) which are estimated using advanced satellite based instruments (Altimeter, Radar, Optical and Microwave Radiometers). Variability of various hydro-meteorological parameters and recent satellite based observation on flood and hydrological drought condition in selected regions over India isdiscussed.