surface_roughness

The function estimates surface roughness (m) from empirical wind speed (m s-1) data collected at a vector of heights (m) Kingsolver2015,Campbell1998,Porter1979TrenchR.

Tools for translating environmental change into organismal response. Microclimate models to vertically scale weather station data to organismal heights. The biophysical modeling tools include both general models for heat flows and specific models to predict body temperatures for a variety of ectothermic taxa. Additional functions model and temporally partition air and soil temperatures and solar radiation. Utility functions estimate the organismal and environmental parameters needed for biophysical ecology. 'TrenchR' focuses on relatively simple and modular functions so users can create transparent and flexible biophysical models. Many functions are derived from Gates (1980) <doi:10.1007/978-1-4612-6024-0> and Campbell and Norman (1988) <isbn:9780387949376>.

Lauren Buckley

TrenchR

Tools for Microclimate and Biophysical Ecology

Bryan Briones Ortiz

Isaac Caruso

Aji John

Ofir Levy

Abigail Meyer

Eric Riddell

Yutaro Sakairi

Juniper Simonis

Brian Helmuth

surface_roughness function

<dl><dt>u_r</dt>
<dd><code>numeric</code> wind velocity (m s-1) at a vector of reference heights.</dd>
<dt>zr</dt>
<dd><code>numeric</code> vector of reference heights (m).</dd></dl>

Arguments

Surface Roughness from Empirical Measurements — surface_roughness

<dl>

<dt>u_r</dt>
<dd><code>numeric</code> wind velocity (m s-1) at a vector of reference heights.</dd>


<dt>zr</dt>
<dd><code>numeric</code> vector of reference heights (m).</dd>

</dl>

Surface Roughness from Empirical Measurements

surface_roughness: Surface Roughness from Empirical Measurements

Description

Usage

Value

Arguments

References

See Also

Examples