Inland lake temperature initialization via coupled  cycling with atmospheric data assimilation

Benjamin, Stanley G.; Smirnova, Tatiana G.; James, Eric P.; Anderson, Eric J.; Fujisaki-Manome, Ayumi; Kelley, John G. W.; Mann, Greg E.; Gronewold, Andrew D.; Chu, Philip; Kelley, Sean G. T.

doi:10.5194/gmd-15-6659-2022

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Inland lake temperature initialization via coupled cycling with atmospheric data assimilation

2022
By Benjamin, Stanley G. ; Smirnova, Tatiana G. ; James, Eric P. ; ...
Source: Geoscientific Model Development, 15(17), 6659-6676

[PDF-2.76 MB]

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Details:

Journal Title:

Geoscientific Model Development
Personal Author:

Benjamin, Stanley G. ; Smirnova, Tatiana G. ; James, Eric P. ; Anderson, Eric J. ; Fujisaki-Manome, Ayumi ; ... More +

Benjamin, Stanley G. ; Smirnova, Tatiana G. ; James, Eric P. ; Anderson, Eric J. ; Fujisaki-Manome, Ayumi ; Kelley, John G. W. ; Mann, Greg E. ; Gronewold, Andrew D. ; Chu, Philip ; Kelley, Sean G. T. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; GLERL (Great Lakes Environmental Research Laboratory) ; GSL (Global Systems Laboratory) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; CIGLR (Cooperative Institute for Great Lakes Research) ; ... More +

OAR (Oceanic and Atmospheric Research) ; GLERL (Great Lakes Environmental Research Laboratory) ; GSL (Global Systems Laboratory) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; CIGLR (Cooperative Institute for Great Lakes Research) ; NOS (National Ocean Service) ; OCS (Office of Coast Survey) ; NWS (National Weather Service) Less -
Description:

Application of lake models coupled within earth-system prediction models, especially for predictions from days to weeks, requires accurate initialization of lake temperatures. Commonly used methods to initialize

lake temperatures include interpolation of global sea-surface temperature (SST) analyses to inland lakes, daily satellite-based observations, or model-based reanalyses.

However, each of these methods have limitations in capturing the temporal

characteristics of lake temperatures (e.g., effects of anomalously warm or

cold weather) for all lakes within a geographic region and/or during

extended cloudy periods. An alternative lake-initialization method was

developed which uses two-way-coupled cycling of a small-lake model within an

hourly data assimilation system of a weather prediction model. The lake

model simulated lake temperatures were compared with other estimates from

satellite and in situ observations and interpolated-SST data for a

multi-month period in 2021. The lake cycling initialization, now applied to

two operational US NOAA weather models, was found to decrease errors in lake surface temperature from as much as 5–10 K vs. interpolated-SST data to about 1–2 K compared to available in situ and satellite observations.
Keywords:

[+]

Data Assimilation Lakes Temperature
Source:

Geoscientific Model Development, 15(17), 6659-6676
DOI:

https://doi.org/10.5194/gmd-15-6659-2022
ISSN:

1991-9603
Publisher:

Copernicus GmbH
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

[+]

urn:sha256:3e7233e030a2e6c2ecc73003d08b89761fdfdbefe75cec6997a1aeccbaae6e6b
Download URL:

https://repository.library.noaa.gov/view/noaa/50659/noaa_50659_DS1.pdf
File Type:

Machine readable version (XML)

xml

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