On the emerging global relevance of atmospheric rivers and impacts on landscapes and water resources

Author(s):  
Craig A Ramseyer ◽  
Natalie Teale

This progress report discusses the lineage of atmospheric rivers (ARs) research, focusing on the transformation of the topic from an important regional atmospheric feature along the U.S. West Coast to a globally relevant driver of extreme hydrometeorological events. As the AR literature has advanced, so has the regional expanse covered, initially expanding into the Central U.S. and Europe. Recently, new, emerging regions are being explored in the AR literature such as the high latitudes, New Zealand, China, North Africa, and the Middle East. The literature on the impact of AR-driven hydrometeorological events on land surface processes (e.g., landslides and avalanches) and water resources is also rapidly developing. This progress report seeks to expose the broader physical geography discipline to the global relevance of ARs and promote new applied research frontiers at the intersection of ARs and those processes studied by physical geographers.

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Satoshi Watanabe ◽  
Shunji Kotsuki ◽  
Shinjiro Kanae ◽  
Kenji Tanaka ◽  
Atsushi Higuchi

Abstract This study highlights the severity of the low snow water equivalent (SWE) and remarkably high temperatures in 2020 in Japan, where reductions in SWE have significant impacts on society due to its importance for water resources. A continuous 60-year land surface simulation forced by reanalysis data revealed that the low SWE in many river basins in the southern snowy region of mainland Japan are the most severe on record. The impact of the remarkably high temperatures in 2020 on the low SWE was investigated by considering the relationships among SWE, temperature, and precipitation. The main difference between the 2020 case and prior periods of low SWE is the record-breaking high temperatures. Despite the fact that SWE was the lowest in 2020, precipitation was much higher than that in 2019, which was one of the lowest SWE on record pre-2020. The results indicate the possibility that even more serious low-SWE periods will be caused if lower precipitation and higher temperatures occur simultaneously.


2019 ◽  
Vol 34 (4) ◽  
pp. 1161-1172 ◽  
Author(s):  
Constantin Ardilouze ◽  
Lauriane Batté ◽  
Bertrand Decharme ◽  
Michel Déqué

Abstract Soil moisture anomalies are expected to be a driver of summer predictability for the U.S. Great Plains since this region is prone to intense and year-to-year varying water and energy exchange between the land and the atmosphere. However, dynamical seasonal forecast systems struggle to deliver skillful summer temperature forecasts over that region, otherwise subject to a consistent warm-season dry bias in many climate models. This study proposes two techniques to mitigate the impact of this precipitation deficit on the modeled soil water content in a forecast system based on the CNRM-CM6-1 model. Both techniques lead to increased evapotranspiration during summer and reduced temperature and precipitation bias. However, only the technique based on a correction of the precipitation feeding the land surface throughout the forecast integration enables skillful summer prediction. Although this result cannot be generalized for other parts of the globe, it confirms the link between bias and skill over the U.S. Great Plains and pleads for continued efforts of the modeling community to tackle the summer bias affecting that region.


2001 ◽  
Vol 14 (8) ◽  
pp. 1809-1822 ◽  
Author(s):  
Douglas B. Clark ◽  
Yongkang Xue ◽  
Richard J. Harding ◽  
Paul J. Valdes

2020 ◽  
Vol 13 (9) ◽  
pp. 3925-3946 ◽  
Author(s):  
Patrick Le Moigne ◽  
François Besson ◽  
Eric Martin ◽  
Julien Boé ◽  
Aaron Boone ◽  
...  

Abstract. This paper describes the impact of the various changes made to the Safran–Isba–Modcou (SIM) hydrometeorological system and demonstrates that the new version of the model performs better than the previous one by making comparisons with observations of daily river flows and snow depths. SIM was developed and put into operational service at Météo-France in the early 2000s. The SIM application is dedicated to the monitoring of water resources and can therefore help in drought monitoring or flood risk forecasting on French territory. This complex system combines three models: SAFRAN, which analyses meteorological variables close to the surface, the ISBA land surface model, which aims to calculate surface fluxes at the interface with the atmosphere and ground variables, and finally MODCOU, a hydrogeological model which calculates river flows and changes in groundwater levels. The SIM model has been improved first by reducing the infrared radiation bias of SAFRAN and then by using the more advanced ISBA multi-layer surface diffusion scheme to have a more physical representation of surface and ground processes. In addition, more accurate and recent databases of vegetation, soil texture, and orography were used. Finally, in mountainous areas, a sub-grid orography representation using elevation bands was adopted, as was the possibility of adding a reservoir to represent the effect of aquifers in mountainous areas. The numerical simulations carried out with the SIM model covered the period from 1958 to 2018, thereby providing an extensive historical analysis of the water resources over France.


2012 ◽  
Vol 9 (4) ◽  
pp. 4381-4416 ◽  
Author(s):  
P. Droogers ◽  
W. W. Immerzeel ◽  
W. Terink ◽  
J. Hoogeveen ◽  
M. F. P. Bierkens ◽  
...  

Abstract. Changes in water resources availability can be expected as consequences of climate change, population growth, economic development and environmental considerations. A two-stage modeling approach is used to explore the impact of these changes in the Middle East and North Africa (MENA) region. An advanced physical based distributed hydrological model is applied to determine the internal and external renewable water resources for the current situation and under future changes. Subsequently, a water allocation model is used to combine the renewable water resources with sectorial water demands. Results show that total demand in the region will increase to 132 km3 yr−1 in 2050, while total water shortage will grow to 199 km3 yr−1 in 2050 for the average climate change projection; an increase of 157 km3. This increase in shortage is the combined impact of an increase in water demand by 50% with a decrease in water supply by 12%. Uncertainty based on the output of the nine GCMs applied, reveals that expected water shortage ranges from 85 km3 to 283 km3 in 2050. The analysis shows that 22% of the water shortage can be attributed to climate change and 78% to changes in socio-economic factors.


2020 ◽  
Author(s):  
Eric Wood ◽  
Noemi Vergopolan ◽  
Peirong Lin ◽  
Ming Pan

<p>Managing water resources and basin reclamation requires hydrological data across a set of scales.  Unfortunately, in many areas the in-situ data is sparse, or not made available to water managers.  With NASA, ESA and Chinese satellites, their data can potentially be merged with in-situ gauge data.  Doing so results in a number of research challenges: 1. Satellite data based on microwave sensors (e.g. L-band sensors from SMAP or SMOS) results in coarse resolution (~35-50 km) making the data difficult for management; (ii) Satellite data from instruments like LandSat (~90m) suffers from cloud contamination.  New satellites improve resolution but still suffer cloud contamination; (iii) Precipitation (along with radiation) falls between these two spectrums, and its fast dynamics can impact water management decision making; (iv) Topographic and soil characteristics, which govern the runoff from the land to rivers; and (v) river flows that are a water source for drought and a site for reservoirs.</p><p>In this talk I will present a new land surface model (HydroBlocks) that we run at a 30m resolution at regional to continental scales.  The water is transmitted to hyper-resolution streams for which we have extracted ~2,900,000 reaches.  Visualization of the models will offer the listener the impact of moving to these scales; and the data needed for water resources management of river basins.</p>


2012 ◽  
Vol 16 (9) ◽  
pp. 3101-3114 ◽  
Author(s):  
P. Droogers ◽  
W. W. Immerzeel ◽  
W. Terink ◽  
J. Hoogeveen ◽  
M. F. P. Bierkens ◽  
...  

Abstract. Changes in water resources availability can be expected as consequences of climate change, population growth, economic development and environmental considerations. A two-stage modeling approach is used to explore the impact of these changes in the Middle East and North Africa (MENA) region. An advanced, physically based, distributed, hydrological model is applied to determine the internal and external renewable water resources for the current situation and under future changes. Subsequently, a water allocation model is used to combine the renewable water resources with sectoral water demands. Results show that total demand in the region will increase to 393 km3 yr−1 in 2050, while total water shortage will grow to 199 km3 yr−1 in 2050 for the average climate change projection, an increase of 157 km3 yr−1. This increase in shortage is the combined impact of an increase in water demand by 50% with a decrease in water supply by 12%. Uncertainty, based on the output of the nine GCMs applied, reveals that expected water shortage ranges from 85 km3 yr−1 to 283 km3 yr−1~in 2050. The analysis shows that 22% of the water shortage can be attributed to climate change and 78% to changes in socio-economic factors.


Author(s):  
Simon Dadson ◽  
Michael Acreman ◽  
Richard Harding

Understanding the competing pressures on water resources requires a detailed knowledge of the future water balance under uncertain environmental change. The need for a robust, scientifically rigorous evidence base for effective policy planning and practice has never been greater. Environmental change includes, but is not limited to, climate change; it also includes land-use and land-cover change, including deforestation for agriculture, and occurs alongside changes in anthropogenic interventions that are used in natural resource management such as the regulation of river flows using dams, which can have impacts that frequently exceed those arising in the natural system. In this paper, we examine the role that land surface models can play in providing a robust scientific basis for making resource management decisions against a background of environmental change. We provide some perspectives on recent developments in modelling in land surface hydrology. Among the range of current land surface and hydrology models, there is a large range of variability, which indicates that the specification and parametrization of several basic processes in the models can be improved. Key areas that require improvement in order to address hydrological applications include (i) the representation of groundwater in models, particularly at the scales relevant to land surface modelling, (ii) the representation of human interventions such as dams and irrigation in the hydrological system, (iii) the quantification and communication of uncertainty, and (iv) improved understanding of the impact on water resources availability of multiple use through treatment, recycling and return flows (and the balance of consumptive and conservative uses). Through a series of examples, we demonstrate that changes in water use could have important reciprocal impacts on climate over a wide area. The effects of water management decisions on climate feedbacks are only beginning to be investigated—they are still only rarely included in climate impact assessments—and the links between the hydrological system and climate are rarely acknowledged in studies of ecosystem services. Nevertheless, because water is essential not only for its direct uses but also for the indirect functions that it serves (including food production, fisheries and industry), it is vital that these connected systems are studied. Building on the examples above, we highlight recent research showing that assessment of these trade-offs is particularly complex in wetland areas, especially in situations where these trade-offs play to the advantage of different communities.


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