Evidence map›Paper›PMID 35664957›Full record

ArticleGeoscientific model development2022

Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16.

Patrick C Campbell, Youhua Tang, Pius Lee, Barry Baker, Daniel Tong, Rick Saylor, Ariel Stein, Jianping Huang, Ho-Chun Huang, Edward Strobach and 9 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Geoscientific model development, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 5 institutions in 1 country.

Patrick C CampbellNOAA Air Resources Laboratory (ARL), College Park, MD, USA.
Youhua TangNOAA Air Resources Laboratory (ARL), College Park, MD, USA.
Pius LeeNOAA Air Resources Laboratory (ARL), College Park, MD, USA.
Barry BakerNOAA Air Resources Laboratory (ARL), College Park, MD, USA.
Daniel TongNOAA Air Resources Laboratory (ARL), College Park, MD, USA.
Rick SaylorNOAA Air Resources Laboratory (ARL), College Park, MD, USA.
Ariel SteinNOAA Air Resources Laboratory (ARL), College Park, MD, USA.
Jianping HuangNOAA National Centers for Environmental Prediction (NCEP), College Park, MD, USA.
Ho-Chun HuangNOAA National Centers for Environmental Prediction (NCEP), College Park, MD, USA.
Edward StrobachNOAA National Centers for Environmental Prediction (NCEP), College Park, MD, USA.
Jeff McQueenNOAA National Centers for Environmental Prediction (NCEP), College Park, MD, USA.
Li PanNOAA National Centers for Environmental Prediction (NCEP), College Park, MD, USA.
Ivanka StajnerNOAA National Centers for Environmental Prediction (NCEP), College Park, MD, USA.
Jamese SimsNOAA NWS/STI, College Park, MD, USA.
Jose Tirado-DelgadoNOAA NWS/STI, College Park, MD, USA.
Youngsun JungNOAA NWS/STI, College Park, MD, USA.
Fanglin YangNOAA National Centers for Environmental Prediction (NCEP), College Park, MD, USA.
Tanya L SperoUS Environmental Protection Agency, Research Triangle Park, NC, USA.
Robert C GilliamUS Environmental Protection Agency, Research Triangle Park, NC, USA.
NOAA National Centers for Environmental Prediction · USNOAA Air Resources Laboratory · USGeorge Mason University · USNational Oceanic and Atmospheric Administration · USEnvironmental Protection Agency · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

A new dynamical core, known as the Finite-Volume Cubed-Sphere (FV3) and developed at both NASA and NOAA, is used in NOAA's Global Forecast System (GFS) and in limited-area models for regional weather and air quality applications. NOAA has also upgraded the operational FV3GFS to version 16 (GFSv16), which includes a number of significant developmental advances to the model configuration, data assimilation, and underlying model physics, particularly for atmospheric composition to weather feedback. Concurrent with the GFSv16 upgrade, we couple the GFSv16 with the Community Multiscale Air Quality (CMAQ) model to form an advanced version of the National Air Quality Forecasting Capability (NAQFC) that will continue to protect human and ecosystem health in the US. Here we describe the development of the FV3GFSv16 coupling with a "state-of-the-science" CMAQ model version 5.3.1. The GFS-CMAQ coupling is made possible by the seminal version of the NOAA-EPA Atmosphere-Chemistry Coupler (NACC), which became a major piece of the next operational NAQFC system (i.e., NACC-CMAQ) on 20 July 2021. NACC-CMAQ has a number of scientific advancements that include satellite-based data acquisition technology to improve land cover and soil characteristics and inline wildfire smoke and dust predictions that are vital to predictions of fine particulate matter (PM

Identifiers

PMID35664957
PMCPMC9157742
OpenAlexW4224297273

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.