Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Paper: PyDDA: A New Pythonic Multiple Doppler Retrieval Package #474

Merged
merged 20 commits into from Jul 3, 2019
Merged
Changes from 1 commit
Commits
File filter...
Filter file types
Jump to…
Jump to file or symbol
Failed to load files and symbols.

Always

Just for now

Add: Cost function table to paper

  • Loading branch information...
rcjackson committed Apr 30, 2019
commit 2702c188399018ced853202e51dc3da3e6bd3f58
@@ -0,0 +1,88 @@
@misc{Langetal2017,
author = {Timothy Lang and
Mario Souto and
Shahin Khobahi and
Bobby Jackson},
title = {nasa/MultiDop: MultiDop v0.3},
month = oct,
year = 2017,
doi = {10.5281/zenodo.1035904},
url = {https://doi.org/10.5281/zenodo.1035904}
}

@article{Shapiroetal2009,
author = {Shapiro, Alan and Potvin, Corey K. and Gao, Jidong},
title = {Use of a Vertical Vorticity Equation in Variational Dual-Doppler Wind Analysis},
journal = {Journal of Atmospheric and Oceanic Technology},
volume = {26},
number = {10},
pages = {2089-2106},
year = {2009},
doi = {10.1175/2009JTECHA1256.1},

URL = {
https://doi.org/10.1175/2009JTECHA1256.1

},
eprint = {
https://doi.org/10.1175/2009JTECHA1256.1

}
,
abstract = { Abstract The utility of the anelastic vertical vorticity equation in a weak-constraint
(least squares error) variational dual-Doppler wind analysis procedure is explored.
The analysis winds are obtained by minimizing a cost function accounting for the discrepancies between
observed and analyzed radial winds, errors in the mass conservation equation, errors in the anelastic
vertical vorticity equation, and spatial smoothness constraints. By using Taylor’s frozen-turbulence
hypothesis to shift analysis winds to observation points, discrepancies between radially projected
analysis winds and radial wind observations can be calculated at the actual times and locations
the data are acquired. The frozen-turbulence hypothesis is also used to evaluate the local derivative
term in the vorticity equation. Tests of the analysis procedure are performed with analytical
pseudo-observations of an array of translating and temporally decaying counterrotating updrafts and
downdrafts generated from a Beltrami flow solution of the Navier–Stokes equations. The experiments
explore the value added to the analysis by the vorticity equation constraint in the common scenario
of substantial missing low-level data (radial wind observations at heights beneath 1.5 km are withheld
from the analysis). Experiments focus on the sensitivity of the most sensitive analysis variable—the vertical
velocity component—to values of the weighting coefficients, volume scan period, number of volume scans, and
errors in the estimated frozen-turbulence pattern-translation components. Although the vorticity equation
constraint is found to add value to many of these analyses, the analysis can become significantly degraded
if estimates of the pattern-translation components are largely in error or if the frozen-turbulence hypothesis
itself breaks down. However, tests also suggest that these negative impacts can be mitigated if data are
available in a rapid-scan mode. }
}

@article{Potvinetal2012,
author = {Potvin, Corey K. and Shapiro, Alan and Xue, Ming},
title = {Impact of a Vertical Vorticity Constraint in Variational Dual-Doppler
Wind Analysis: Tests with Real and Simulated Supercell Data},
journal = {Journal of Atmospheric and Oceanic Technology},
volume = {29},
number = {1},
pages = {32-49},
year = {2012},
doi = {10.1175/JTECH-D-11-00019.1},

URL = {
https://doi.org/10.1175/JTECH-D-11-00019.1

},
eprint = {
https://doi.org/10.1175/JTECH-D-11-00019.1

}
,
abstract = { AbstractOne of the greatest challenges to dual-Doppler retrieval of the vertical wind is the lack of
low-level divergence information available to the mass conservation constraint. This study examines the impact of
a vertical vorticity equation constraint on vertical velocity retrievals when radar observations are lacking near
the ground. The analysis proceeds in a three-dimensional variational data assimilation (3DVAR) framework with the
anelastic form of the vertical vorticity equation imposed along with traditional data, mass conservation, and
smoothness constraints. The technique is tested using emulated radial wind observations of a supercell storm
simulated by the Advanced Regional Prediction System (ARPS), as well as real dual-Doppler observations of a
supercell storm that occurred in Oklahoma on 8 May 2003. Special attention is given to procedures to evaluate
the vorticity tendency term, including spatially variable advection correction and estimation of the intrinsic
evolution. Volume scan times ranging from 5 min, typical of operational radar networks, down to 30 s, achievable
by rapid-scan mobile radars, are considered. The vorticity constraint substantially improves the vertical velocity
retrievals in our experiments, particularly for volume scan times smaller than 2 min. }
}


ProTip! Use n and p to navigate between commits in a pull request.
You can’t perform that action at this time.