scholarly journals Field and modelling investigations of fresh-water plume behaviour in response to infrequent high-precipitation events, Sydney Estuary, Australia

2011 ◽  
Vol 92 (3) ◽  
pp. 389-402 ◽  
Author(s):  
Serena B. Lee ◽  
Gavin F. Birch ◽  
Charles J. Lemckert
Keyword(s):  
Fresh Water ◽  
Sydney Estuary ◽  
High Precipitation Events ◽  
High Precipitation ◽  
Precipitation Events

scholarly journals The influence of plant mulches on the content of phenolic compounds in soil and primary weed infestation of maize

2012 ◽  
Vol 61 (2) ◽  
pp. 205-219 ◽  
Author(s):  
Agnieszka Stokłosa ◽  
Tomasz Hura ◽  
Ewa Stupnicka-Rodzynkiewicz ◽  
Teresa Dąbkowska ◽  
Andrzej Lepiarczyk
Keyword(s):  
Phenolic Compounds ◽  
Phenolic Acids ◽  
Spring Barley ◽  
Rapid Decrease ◽  
Infestation Level ◽  
Control Soil ◽  
Weed Infestation ◽  
High Precipitation Events ◽  
High Precipitation ◽  
Precipitation Events

In growing maize, an increase in the content of phenolic compounds and selected phenolic acids in soil was found after the incorporation of white mustard, buckwheat, spring barley, oats and rye mulches into the soil. The highest content of phenolic compounds in soil was found after oats mulch incorporation (20% more than in the control soil). The highest content of selected phenolic acids was found for the soil with the oats and rye mulch. Among the phenolic acids investigated, ferulic acid was most commonly found in the soil with the plant mulches. However, two phenolic acids: the protocatechuic and chlorogenic acid, were not detected in any soil samples (neither in the control soil nor in the mulched soil). At the same time, a decrease in the primary weed infestation level in maize was found in the plots with all the applied plant mulches, especially on the plots with oats, barley and mustard. The plant mulches were more inhibitory against monocotyledonous weeds than dicotyledonous ones. During high precipitation events and wet weather, a rapid decrease in the content of phenolic compounds in soil and an increase in the primary weed infestation level in maize were observed.

Late Holocene high precipitation events recorded in lake sediments and catchment geomorphology, Lake Vuoksjávrátje, NW Sweden

Boreas ◽  
2015 ◽  
Vol 44 (4) ◽  
pp. 676-692 ◽  
Author(s):  
Annika Berntsson ◽  
Krister N. Jansson ◽  
Malin E. Kylander ◽  
Francois De Vleeschouwer ◽  
Sebastien Bertrand
Keyword(s):  
Lake Sediments ◽  
Late Holocene ◽  
High Precipitation Events ◽  
High Precipitation ◽  
Precipitation Events

scholarly journals Supplementary material to "Aerosol-induced high precipitation events near the Himalayan foothills"

2020 ◽  
Author(s):  
Goutam Choudhury ◽  
Bhishma Tyagi ◽  
Naresh Krishna Vissa ◽  
Jyotsna Singh ◽  
Chandan Sarangi ◽  
...  
Keyword(s):  
Himalayan Foothills ◽  
Supplementary Material ◽  
High Precipitation Events ◽  
High Precipitation ◽  
Precipitation Events

scholarly journals Evaluation of Seasonal and Synoptic Changes in Snow Accumulation in Antarctica between Five Reanalyses Products and In Situ Observations

Atmosphere ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 473
Author(s):  
Yihui Liu ◽  
Fei Li ◽  
Weifeng Hao
Keyword(s):  
Mass Balance ◽  
Snow Accumulation ◽  
The Other ◽  
Surface Mass Balance ◽  
Surface Mass ◽  
In Situ Observations ◽  
High Precipitation Events ◽  
High Precipitation ◽  
Precipitation Events

The performance of recent reanalysis products (i.e., ERA-Interim, NCEP2, MERRA, CFSR, and JRA-55) was evaluated based on in situ observations from nine automatic weather stations and one stake network to investigate the monthly and seasonal variability of the surface mass balance in Antarctica. Synoptic precipitation simulations were also evaluated by an investigation of high precipitation events. The seasonal variations showed large fluctuations and were inconsistent at each station, probably owing to the large interannual variability of snow accumulation based on the short temporal coverage of the data. The ERA-Interim and JRA-55 datasets revealed better simulated precision, with the other three models presenting similar simulations at monthly and seasonal timescales. The JRA-55 dataset captured a greater number of synoptic high precipitation events at four of the nine stations. Such events at the other five stations were mainly captured by ERA and CFSR. The NCEP2 dataset was more weakly correlated with each station on all timescales. These results indicate that significant monthly or seasonal correlations between in situ observations and the models had little effect on the capability of the reanalyses to capture high precipitation events. The precision of the five reanalysis datasets widely fluctuated in specific regions or at specific stations at different timescales. Great caution is needed when using a single reanalysis dataset to assess the surface mass balance over all of Antarctica.

scholarly journals Hydrological Analysis of Extreme Rain Events in a Medium-Sized Basin

2021 ◽  
Vol 11 (11) ◽  
pp. 4901
Author(s):  
Sofia Sarchani ◽  
Frezer Seid Awol ◽  
Ioannis Tsanis
Keyword(s):  
Flood Hazard ◽  
Model Verification ◽  
Antecedent Moisture ◽  
Rural And Urban ◽  
High Precipitation Events ◽  
High Precipitation ◽  
Rain Events ◽  
Error Index ◽  
Moisture Conditions ◽  
Precipitation Events

The hydrological response of a medium-sized watershed with both rural and urban characteristics was investigated through event-based modeling. Different meteorological event conditions were examined, such as events of high precipitation intensity, double hydrological peak, and mainly normal to wet antecedent moisture conditions. Analysis of the hydrometric features of the precipitation events was conducted by comparing the different rainfall time intervals, the total volume of water, and the precedent soil moisture. Parameter model calibration and validation were performed for rainfall events under similar conditions, examined in pairs, in order to verify two hydrological models, the lumped HEC-HMS (Hydrologic Engineering Center’s Hydrologic Modeling System model) and the semi-distributed HBV-light (a recent version of Hydrologiska Byråns Vattenbalansavdelning model), at the exit of six individual gauged sub-basins. Model verification was achieved by using the Nash–Sutcliffe efficiency and volume error index. Different time of concentration (Tc) formulas are better applied to the sub-watersheds with respect to the dominant land uses, classifying the Tc among the most sensitive parameters that influence the time of appearance and the magnitude of the peak modeled flow through the HEC-HMS model. The maximum water content of the soil box (FC) affects most the peak flow via the HBV-light model, whereas the MAXBAS parameter has the greatest effect on the displayed time of peak discharge. The modeling results show that the HBV-light performed better in the events that had less precipitation volume compared to their pairs. The event with the higher total precipitated water produced better results with the HEC-HMS model, whereas the rest of the two high precipitation events performed satisfactorily with both models. April to July is a flood hazard period that will be worsened with the effect of climate change. The suggested calibrated parameters for severe precipitation events can be used for the prediction of future events with similar features. The above results can be used in the water resources management of the basin.

scholarly journals Stochastic generation of multi-site daily precipitation for the assessment of extreme floods in Switzerland

2017 ◽  
Author(s):  
Guillaume Evin ◽  
Anne-Catherine Favre ◽  
Benoit Hingray
Keyword(s):  
Statistical Methods ◽  
Stochastic Models ◽  
Extreme Precipitation ◽  
Daily Precipitation ◽  
Spatial Scales ◽  
Statistical Features ◽  
Temporal And Spatial ◽  
High Precipitation Events ◽  
High Precipitation ◽  
Precipitation Events

Abstract. Many multi-site stochastic models have been proposed for the generation of daily precipitation, but they generally focus on the reproduction of low to high precipitation events. In this paper, a multi-site daily precipitation model is proposed and aims at reproducing the statistical features of extremely rare events at different temporal and spatial scales. Recent advances and various statistical methods (regionalization, disaggregation) are considered in order to obtain a robust and appropriate representation of the most extreme precipitation fields. Performances are shown at different temporal and spatial scales on a large region located in Switzerland.

scholarly journals Attribution analysis of high precipitation events in summer in England and Wales over the last decade

2014 ◽  
Vol 132 (1) ◽  
pp. 77-91 ◽  
Author(s):  
Friederike E. L. Otto ◽  
Suzanne M. Rosier ◽  
Myles R. Allen ◽  
Neil R. Massey ◽  
Cameron J. Rye ◽  
...  
Keyword(s):  
England And Wales ◽  
Attribution Analysis ◽  
High Precipitation Events ◽  
High Precipitation ◽  
Precipitation Events
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