A Comprehensive Model for Correcting Point Precipitation

Allerup, Peter; Madsen, Henning; Vejen, Flemming

doi:10.2166/nh.1997.0001

Cited by 70 publications

(63 citation statements)

References 3 publications

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“…In Denmark this has traditionally been done using a standard correction method where monthly factors are multiplied onto the precipitation series (Allerup et al, 1997); the correction factors are, among others, based on the relationship between snow and rain in the reference period . However, as the present precipitation time series expand well beyond the reference period, and as the snow to rain ratio cannot be assumed to be constant during the 130 yr, a dynamic correction method has been applied.…”

Section: Precipitation Measurement Error Correctionmentioning

confidence: 99%

Historical trends in precipitation and stream discharge at the Skjern River catchment, Denmark

Karlsson

Sonnenborg

Jensen

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract.A 133 yr data set from the 1055 km 2 Skjern River catchment in western Denmark has been analysed with respect to precipitation, temperature, evapotranspiration and discharge. The precipitation series have been tested and corrected using the standard normal homogeneity test and subsequently corrected for undercatch. The degree of change in the climatic variables is examined using the non-parametric Mann-Kendall test. During the last 133 yr the area has experienced a significant change in precipitation of 26 % and a temperature change of 1.4 • C, leading to increases in river discharge of 52 % and groundwater recharge of 86 %. A lumped conceptual hydrological model, NAM, was calibrated on the period 1951-1980 and showed generally an excellent match between simulated and observed discharge. The capability of the hydrological model to predict climate change impact was investigated by looking at performances outside the calibration period. The results showed a reduced model fit, especially for recent time periods (after the 1980s), and not all hydrological changes could be explained. This might indicate that hydrological models cannot be expected to predict climate change impacts on discharge as accurately in the future, compared to the performance under present conditions, where they can be calibrated. The (simulated) stream discharge was subsequently analysed using high flow and drought indices based on the threshold method. The extreme signal was found to depend highly on the period chosen as reference to normal. The analysis indicated that no significant amplitude increase of the hydrograph for both wet and dry extremes could be found superimposed on the overall discharge increase.

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Section: Precipitation Measurement Error Correctionmentioning

confidence: 99%

Historical trends in precipitation and stream discharge at the Skjern River catchment, Denmark

Karlsson

Sonnenborg

Jensen

et al. 2014

Hydrol. Earth Syst. Sci.

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“…Table 1 shows mean annual and seasonal temperatures and precipitation for all projection periods. Before using the data as input in the Daisy model, the precipitation was corrected to apply to the soil surface with a mean +10 % correction applied throughout the year according to Allerup et al (1998). The correction was found by comparing standard meteorological measurements of precipitation at 1.5 m height with measurement at the soil surface, and is primarily caused by turbulence effects around the measurement rain gauge at 1.5 m height.…”

Section: Projected Climate Change and Meteorological Datamentioning

confidence: 99%

A probabilistic assessment of climate change impacts on yield and nitrogen leaching from winter wheat in Denmark

Børgesen

Olesen

2011

Nat. Hazards Earth Syst. Sci.

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Abstract. Climate change will impact agricultural production both directly and indirectly, but uncertainties related to likely impacts constrain current political decision making on adaptation. This analysis focuses on a methodology for applying probabilistic climate change projections to assess modelled wheat yields and nitrate leaching from arable land in Denmark. The probabilistic projections describe a range of possible changes in temperature and precipitation. Two methodologies to apply climate projections in impact models were tested. Method A was a straightforward correction of temperature and precipitation, where the same correction was applied to the baseline weather data for all days in the year, and method B used seasonal changes in precipitation and temperature to correct the baseline weather data. Based on climate change projections for the time span 2000 to 2100 and two soil types, the mean impact and the uncertainty of the climate change projections were analysed. Combining probability density functions of climate change projections with crop model simulations, the uncertainty and trends in nitrogen (N) leaching and grain yields with climate change were quantified. The uncertainty of climate change projections was the dominating source of uncertainty in the projections of yield and N leaching, whereas the methodology to seasonally apply climate change projections had a minor effect. For most conditions, the probability of large yield reductions and large N leaching losses tracked trends in mean yields and mean N leaching. The impacts of the uncertainty in climate change were higher for loamy sandy soil than for sandy soils due to generally higher yield levels for loamy sandy soils. There were large differences between soil types in response to climate change, illustrating the importance of including soil information for regional studies of climate change impacts on cropping systems.

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“…It is true that heavy precipitation events are associated with stronger winds, but multiple regression analyses of the rainfall undercatch as a function of wind speed and rainfall intensity [Madsen, 1995;Allerup et al, 1997;FOrland et al 1997] shows that Y&G misinterpreted the results of Sevruk [1989] and that the sign of the effect of precipitation intensity on the gage undercatch is negative. We, however, agree that further investigations of the effect of precipitation intensities to catch efficiency of the U.S. gages are needed.…”

mentioning

confidence: 99%

Reply [to “Comment on ‘Reducing biases in estimates of precipitation over the United States: Phase 3 adjustments’ by P. Y. Groisman et al.”]

Groisman¹,

Easterling²,

Quayle³

et al. 1998

J. Geophys. Res.

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A Comprehensive Model for Correcting Point Precipitation

Cited by 70 publications

References 3 publications

Historical trends in precipitation and stream discharge at the Skjern River catchment, Denmark

Historical trends in precipitation and stream discharge at the Skjern River catchment, Denmark

A probabilistic assessment of climate change impacts on yield and nitrogen leaching from winter wheat in Denmark

Reply [to “Comment on ‘Reducing biases in estimates of precipitation over the United States: Phase 3 adjustments’ by P. Y. Groisman et al.”]

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