Effects of rising atmospheric CO2 on evapotranspiration and soil moisture: A practical approach for the Netherlands

Kruijt, B.; Witte, J.P.M.; Jacobs, C.M.J.; Kroon, T.

doi:10.1016/j.jhydrol.2007.10.052

Cited by 114 publications

(116 citation statements)

References 33 publications

Supporting

Mentioning

107

Contrasting

Order By: Relevance

“…Therefore, along with E pot estimates for future time slices using the same r s value as in the baseline (variable pepm), an additional variable (pepm_adjrs) is introduced, which accounts for the impact of CO 2 on stomatal resistance and, therefore, on E pot . To do so, we follow Rudd and Kay (2016) and use the estimate of change in crop and grass conductance per 1 ppm CO 2 concentration increase of Kruijt et al (2008) (−9.3 × 10 −2 %) and apply these to change in the 30-year averaged CO 2 concentration between each future time period (469.5 ppm in the near future and 798.6 ppm in the far future) and 1975-2004 values (352.7 ppm). The resulting monthly r s values are displayed in Table 4 for pepm and pepm_adjrs for near and far future.…”

Section: Potential Evaporation Estimatesmentioning

confidence: 99%

“…Starting with the year Y with the lowest number of simulations available (= n), all simulations are stitched forward as follows: the distance in the soil moisture PC1-2 space between each end-of-run value from simulations on year Y and each start-of-run value from simulations on year Y +1 is computed. The Hungarian algorithm (R function "solve_LSAP" in package "clue", Kuhn, 1955Kuhn, , 1956Papadimitriou and Steiglitz, 1982;Hornik, 2005Hornik, , 2016) is then applied to find the combination that minimises the sum of the squared distances.…”

Section: Generation Of Continuous Time Series From Single Yearsmentioning

confidence: 99%

See 1 more Smart Citation

A large set of potential past, present and future hydro-meteorological time series for the UK

Guillod

Jones

Dadson

et al. 2018

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Hydro-meteorological extremes such as drought and heavy precipitation can have large impacts on society and the economy. With potentially increasing risks associated with such events due to climate change, properly assessing the associated impacts and uncertainties is critical for adequate adaptation. However, the application of riskbased approaches often requires large sets of extreme events, which are not commonly available. Here, we present such a large set of hydro-meteorological time series for recent past and future conditions for the United Kingdom based on weather@home 2, a modelling framework consisting of a global climate model (GCM) driven by observed or projected sea surface temperature (SST) and sea ice which is downscaled to 25 km over the European domain by a regional climate model (RCM). Sets of 100 time series are generated for each of (i) a historical baseline , (ii) five nearfuture scenarios (2020-2049) and (iii) five far-future scenarios . The five scenarios in each future time slice all follow the Representative Concentration Pathway 8.5 (RCP8.5) and sample the range of sea surface temperature and sea ice changes from CMIP5 (Coupled Model Intercomparison Project Phase 5) models. Validation of the historical baseline highlights good performance for temperature and potential evaporation, but substantial seasonal biases in mean precipitation, which are corrected using a linear approach. For extremes in low precipitation over a long accumulation period (> 3 months) and shorter-duration high precipitation (1-30 days), the time series generally represents past statistics well. Future projections show small precipitation increases in winter but large decreases in summer on average, leading to an overall drying, consistently with the most recent UK Climate Projections (UKCP09) but larger in magnitude than the latter. Both drought and high-precipitation events are projected to increase in frequency and intensity in most regions, highlighting the need for appropriate adaptation measures. Overall, the presented dataset is a useful tool for assessing the risk associated with drought and more generally with hydro-meteorological extremes in the UK.

show abstract

Section: Potential Evaporation Estimatesmentioning

confidence: 99%

Section: Generation Of Continuous Time Series From Single Yearsmentioning

confidence: 99%

A large set of potential past, present and future hydro-meteorological time series for the UK

Guillod

Jones

Dadson

et al. 2018

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Model simulation is a useful approach to 114 elucidate and predict the physiological effects of eCO 2 and interactions with climate change 115 since physiological effects of eCO 2 at regional scale were poorly understood and atmospheric 116 CO 2 content is projected to rise beyond our observation . General 117 circulation models with sophisticated land surface models have been used to study the eCO 2 118 effects on water availability globally (e.g., Sellers et al (1996) At catchment scales, previous modelling experiments have consistently predicted an increase 125 in runoff in response to eCO 2 with a relative response ranging from less than 10% (Eckhardt 126 and Ulbrich (2003), Kruijt et al (2008), and Leuzinger and Körner (2010)) to about 90% 127 (Aston, 1984). Many previous studies of eCO 2 at catchment scale suffer from two 128 weaknesses.…”

Section: Introduction 46mentioning

confidence: 99%

Impacts of elevated CO 2 , climate change and their interactions on water budgets in four different catchments in Australia

Cheng

Zhang

Wang

et al. 2014

Journal of Hydrology

View full text Add to dashboard Cite

Future water availability is affected directly by the effects of climate change on 16 water loss through evapotranspiration (ET) GCMs representing a period centred on 2050s was projected and then downscaled to the 27 study catchments. The future CO 2 concentration (i.e., eCO 2 ) at 2050 was projected to be 28 550ppm. Results from this study show eCO 2 increases canopy leaf area index (LAI) in all 29 four catchments and increases ET and decreases runoff in the water limited forest catchment 30 and the two grassland catchments, but reduces ET and increases runoff in the energy-limited 31 forest catchment. The effects of future climate on canopy LAI, ET and total runoff were 32 opposing in sign to those of eCO 2 for all four catchments. Our results also suggest that the 33 interactions between the direct and indirect effects on ET are relatively strong in the two 34 grassland catchments but relatively weak in the two forest catchments, possibly because the 35 deep-rooted forest system can utilize more available soil water than grasslands. Interactions 36 on runoff were relatively strong in the two water-limited catchments but weak in the two 37 energy-limited catchments, possibly because ET in the water-limited ecosystems are mainly 38 constrained by water and arid ecosystems have higher water use efficiency. This study 39 highlights that failure to account for impacts of eCO 2

show abstract

“…Climate change can potentially change the vegetation in response to increasing temperatures and shifts in precipitation (Kruijt et al 2008). To which extent the vegetation will change also depends on soil moisture-climate interactions (Seneviratne et al 2010).…”

Section: Modelmentioning

confidence: 99%

“…The uncertainty of the impact interferes with the urgency to decide on adaptation measures concerning drinking water supply. In addition, adequate adaptation of drinking water systems to these kinds of long-term developments is complicated and involves not only technical, but also social, political and economic aspects (Kloosterman 2015;Staben et al 2015;Zwolsman et al 2014). Therefore, it is important to assess the effect of adaptation measures, also regarding climate change, before these measures are implemented.…”

Section: Introductionmentioning

confidence: 99%

Impact of Changes in Groundwater Extractions and Climate Change on Groundwater-Dependent Ecosystems in a Complex Hydrogeological Setting

Engelenburg

Hueting

Rijpkema³

et al. 2017

Water Resour Manage

View full text Add to dashboard Cite

Climate change and other future developments can influence the availability of groundwater resources for drinking water. The uncertainty of the projected impact is a challenge given the urgency to decide on adaptation measures to secure the drinking water supply. Improved understanding on how climate change affects the groundwater system is necessary to develop adaptation strategies. AZURE is used, a detailed, well-calibrated hydrological model to study the projected impact of climate change scenarios on the large Veluwe aquifer in the Netherlands. The Veluwe area is an important source of drinking water. However, some existing groundwater extractions in the area affect nearby groundwaterdependent ecosystems. Redistribution of the licensed extraction volumes of these sites is considered to reduce the impact on these ecosystems. The projected impact of climate change and redistribution to groundwater levels is studied. The research shows that in a slowly responding large aquifer the projected climate change may cause rising groundwater levels despite the projected increase in summer dryness. The results indicate that this impact may exceed the impact of redistribution of extraction volumes. In addition, it is shown that the combined effect strongly depends on local conditions, thus highlighting the need for highresolution modelling.

show abstract

Effects of rising atmospheric CO2 on evapotranspiration and soil moisture: A practical approach for the Netherlands

Cited by 114 publications

References 33 publications

A large set of potential past, present and future hydro-meteorological time series for the UK

A large set of potential past, present and future hydro-meteorological time series for the UK

Impacts of elevated CO 2 , climate change and their interactions on water budgets in four different catchments in Australia

Impact of Changes in Groundwater Extractions and Climate Change on Groundwater-Dependent Ecosystems in a Complex Hydrogeological Setting

Contact Info

Product

Resources

About