Dependence Types in a Binarized Precipitation Network

2020 ◽  
Vol 47 (23) ◽  
Author(s):  
C. De Michele ◽  
V. Meroni ◽  
L. Rahimi ◽  
C. Deidda ◽  
A. Ghezzi
Keyword(s):  
Precipitation Network

scholarly journals An evaluation of persistent meteorological drought using a homogeneous Island of Ireland precipitation network

2015 ◽  
Vol 36 (8) ◽  
pp. 2854-2865 ◽  
Author(s):  
R. L. Wilby ◽  
S. Noone ◽  
C. Murphy ◽  
T. Matthews ◽  
S. Harrigan ◽  
...  
Keyword(s):  
Meteorological Drought ◽  
Precipitation Network

scholarly journals Accuracy of precipitation network in different geophysical regions in India

MAUSAM ◽  
2021 ◽  
Vol 43 (3) ◽  
pp. 291-294
Author(s):  
K. MUKHERJEE ◽  
SURINDER KAUR
Keyword(s):  
Optimum Design ◽  
Relative Accuracy ◽  
Factors Influencing ◽  
Areal Precipitation ◽  
Precipitation Network

For any type of hydro meteorological studies it Is imperative that an optimum design of network of raingauge stations is determined taking into consideration various factors influencing specific purpose for which such designs are envisaged. In the present paper an attempt has been made to determine the relative accuracy of the precipitation network designed for estimation of normal areal precipitation in comparison to the standard prescribed by World Meteorological Orgamsatlon. It is observed that III the present case the proposed network is fairly accurate for the purpose  for which it has been designed.

scholarly journals Disentangle Kinetic From Equilibrium Fractionation Using Primary (δ17O, δ18O, δD) and Secondary (Δ17O, dex) Stable Isotope Parameters on Samples From the Swiss Precipitation Network

2021 ◽  
Vol 9 ◽  
Author(s):  
Markus C. Leuenberger ◽  
Shyam Ranjan
Keyword(s):  
Isotope Ratio ◽  
Meteorological Parameters ◽  
Isotope Ratios ◽  
Temperature Dependent ◽  
University Of Bern ◽  
Turbulence Factor ◽  
The University ◽  
Precipitation Network ◽  
Equilibrium Fractionation ◽  
Model Approach

Since 1971 water isotope measurements are being conducted by the Climate and Environmental Physics Division at the University of Bern on precipitation, river- and groundwater collected at several places within Switzerland. The water samples were stored in glass flasks for later analyses with improved instrumentation. Conventional isotope ratio measurements on precipitated water from all stations of the network are well correlated as expected. However, Δ17O as well as dex is anticorrelated to these isotope ratio. The combination of these parameters allow to investigate dependencies on temperature, turbulence factor, and humidity of these values as well as to look into the importance and relative contributions of kinetic to equilibrium fractionations. We used published temperature dependent fractionation factors in combination with a simple Rayleigh model approach to investigate the importance of the meteorological parameters on the isotope ratios. A direct comparison of measured and modeled isotope ratios for primary (δ17O, δ18O and (δD) as well as secondary isotope parameters (Δ17O and dex) is shown.

scholarly journals Exploring the Clustering Property and Network Structure of a Large-Scale Basin’s Precipitation Network: A Complex Network Approach

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1739
Author(s):  
Yiran Xu ◽  
Fan Lu ◽  
Kui Zhu ◽  
Xinyi Song ◽  
Yanyu Dai
Keyword(s):  
Network Theory ◽  
Large Scale ◽  
Yellow River ◽  
Environmental Gradients ◽  
Small World ◽  
Yellow River Basin ◽  
Vertex Degree ◽  
Clustering Coefficient ◽  
Recent Developments ◽  
Precipitation Network

Understanding of the spatial connections in rainfall is a challenging and essential groundwork for reliable modeling of catchment processes. Recent developments in network theory offer new avenues to understand of the spatial variability of rainfall. The Yellow River Basin (YRB) in China is spatially extensive, with pronounced environmental gradients driven primarily by precipitation and air temperature on broad scales. Therefore, it is an ideal region to examine the availability of network theory. The concepts of clustering coefficient, degree distribution and small-world network are employed to investigate the spatial connections and architecture of precipitation networks in the YRB. The results show that (1) the choice of methods has little effect on the precipitation networks, but correlation thresholds significantly affected vertex degree and clustering coefficient values of precipitation networks; (2) the spatial distribution of the clustering coefficient appears to be high–low–high from southeast to northwest and the vertex degree is the opposite; (3) the precipitation network has small-world properties in the appropriate threshold range. The findings of this paper could help researchers to understand the spatial rainfall connections of the YRB and, therefore, become a foundation for developing a hydrological model in further studies.

scholarly journals Downsizing a long-term precipitation network: Using a quantitative approach to inform difficult decisions

PLoS ONE ◽  
2018 ◽  
Vol 13 (5) ◽  
pp. e0195966 ◽  
Author(s):  
Mark B. Green ◽  
John L. Campbell ◽  
Ruth D. Yanai ◽  
Scott W. Bailey ◽  
Amey S. Bailey ◽  
...  
Keyword(s):  
Quantitative Approach ◽  
Precipitation Network

scholarly journals Reflecting on the status of precipitation data collection in Alaska: a case study

2014 ◽  
Vol 46 (4) ◽  
pp. 478-493 ◽  
Author(s):  
Douglas L. Kane ◽  
Svetlana L. Stuefer
Keyword(s):  
Data Collection ◽  
Precipitation Data ◽  
High Latitudes ◽  
Measured Variable ◽  
Solid Precipitation ◽  
Spatial Coverage ◽  
The Status ◽  
Intensity Duration Frequency ◽  
Precipitation Network

Measuring precipitation, especially solid, at high latitudes is a challenge. In Alaska (USA), the extreme topography, large regional extent, and varying climate result in annual precipitation values ranging from 120 in. (3,050 mm) to 10 in. (254 mm). The state's precipitation network recently has expanded significantly, but there is still room for improvement. A recent intensity-duration-frequency (idf) exercise for the state showed that: (1) although density and spatial coverage of stations have increased, large areas in northern and western Alaska are still without gauge coverage; (2) the number of gauges at higher elevations is insufficient, although growing (e.g., the number of stations above 1,000 ft (305 m) increased from 26 gauges in 1963 to 134 gauges in 2012); (3) solid precipitation is difficult to quantify, and at unmanned sites, the phase of precipitation (liquid or solid) is hard to determine, as air temperature is often the only other measured variable; (4) corrections for gauge undercatch need to be made but too often information on the shielded status of gauges and wind speed is lacking; and (5) in the recent idf analysis only about one-third of the existing and historical stations were used because of data-quality issues. Obviously, overall improvements in precipitation data collection can and should be made.

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