disch

Station details<ul>
<li>Name: Nassawango Creek near Snow Hill, Worcester County, Maryland, Hydrologic Unit 02080111</li>
<li>Network Id: , USGS 01485500</li>
<li>Latitude/Longitude: 38°13'44.1", 75°28'17.2"</li>
<li>Elevation: 11.49 ft above North American Vertical Datum of 1988.</li>
<li>Measurement unit: cubic feet per second</li>
</ul>

datasets

Makes univariate, multivariate, or random fields simulations precise and simple. Just select the desired time series or random fields’ properties and it will do the rest. CoSMoS is based on the framework described in Papalexiou (2018, <doi:10.1016/j.advwatres.2018.02.013>), extended for random fields in Papalexiou and Serinaldi (2020, <doi:10.1029/2019WR026331>), and further advanced in Papalexiou et al. (2021, <doi:10.1029/2020WR029466>) to allow fine-scale space-time simulation of storms (or even cyclone-mimicking fields).

Kevin Shook

CoSMoS

Complete Stochastic Modelling Solution

Simon Michael Papalexiou

Francesco Serinaldi

Filip Strnad

Yannis Markonis

disch function

A data.table with 23315 rows and 2 variables:<dl>
<dt>date</dt>
<dd>POSIXct format date/time</dd><dt>value</dt>
<dd>daily avarage values</dd>
</dl>

Format

Daily streamflow data data — disch

A data.table with 23315 rows and 2 variables:<dl>
<dt>date</dt>
<dd>POSIXct format date/time</dd>

<dt>value</dt>
<dd>daily avarage values</dd>


</dl>

disch: Daily streamflow data data

Description

Usage

Arguments

Format

Details