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Gaubert B, Emmons LK, Raeder K, Tilmes S, Miyazaki K, Arellano AF, Elguindi N, Granier C, Tang W, Barré J, Worden HM, Buchholz RR, Edwards DP, Franke P, Anderson JL, Saunois M, Schroeder J, Woo JH, Simpson IJ, Blake DR, Meinardi S, Wennberg PO, Crounse J, Teng A, Kim M, Dickerson RR, He H, Ren X, Pusede SE, Diskin GS. Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ. ATMOSPHERIC CHEMISTRY AND PHYSICS 2020; 20:14617-14647. [PMID: 33414818 PMCID: PMC7786812 DOI: 10.5194/acp-20-14617-2020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Global coupled chemistry-climate models underestimate carbon monoxide (CO) in the Northern Hemisphere, exhibiting a pervasive negative bias against measurements peaking in late winter and early spring. While this bias has been commonly attributed to underestimation of direct anthropogenic and biomass burning emissions, chemical production and loss via OH reaction from emissions of anthropogenic and biogenic volatile organic compounds (VOCs) play an important role. Here we investigate the reasons for this underestimation using aircraft measurements taken in May and June 2016 from the Korea-United States Air Quality (KORUS-AQ) experiment in South Korea and the Air Chemistry Research in Asia (ARIAs) in the North China Plain (NCP). For reference, multispectral CO retrievals (V8J) from the Measurements of Pollution in the Troposphere (MOPITT) are jointly assimilated with meteorological observations using an ensemble adjustment Kalman filter (EAKF) within the global Community Atmosphere Model with Chemistry (CAM-Chem) and the Data Assimilation Research Testbed (DART). With regard to KORUS-AQ data, CO is underestimated by 42% in the control run and by 12% with the MOPITT assimilation run. The inversion suggests an underestimation of anthropogenic CO sources in many regions, by up to 80% for northern China, with large increments over the Liaoning Province and the North China Plain (NCP). Yet, an often-overlooked aspect of these inversions is that correcting the underestimation in anthropogenic CO emissions also improves the comparison with observational O3 datasets and observationally constrained box model simulations of OH and HO2. Running a CAM-Chem simulation with the updated emissions of anthropogenic CO reduces the bias by 29% for CO, 18% for ozone, 11% for HO2, and 27% for OH. Longer-lived anthropogenic VOCs whose model errors are correlated with CO are also improved, while short-lived VOCs, including formaldehyde, are difficult to constrain solely by assimilating satellite retrievals of CO. During an anticyclonic episode, better simulation of O3, with an average underestimation of 5.5 ppbv, and a reduction in the bias of surface formaldehyde and oxygenated VOCs can be achieved by separately increasing by a factor of 2 the modeled biogenic emissions for the plant functional types found in Korea. Results also suggest that controlling VOC and CO emissions, in addition to widespread NO x controls, can improve ozone pollution over East Asia.
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Affiliation(s)
- Benjamin Gaubert
- Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USA
| | - Louisa K. Emmons
- Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USA
| | - Kevin Raeder
- Computational and Information Systems Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
| | - Simone Tilmes
- Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USA
| | - Kazuyuki Miyazaki
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
| | - Avelino F. Arellano
- Dept. of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, USA
| | - Nellie Elguindi
- Laboratoire d’Aérologie, CNRS, Université de Toulouse, Toulouse, France
| | - Claire Granier
- Laboratoire d’Aérologie, CNRS, Université de Toulouse, Toulouse, France
- NOAA Chemical Sciences Laboratory-CIRES/University of Colorado, Boulder, CO, USA
| | - Wenfu Tang
- Advanced Study Program, National Center for Atmospheric Research, Boulder, CO, USA
| | - Jérôme Barré
- European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
| | - Helen M. Worden
- Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USA
| | - Rebecca R. Buchholz
- Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USA
| | - David P. Edwards
- Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USA
| | - Philipp Franke
- Forschungszentrum Jülich GmbH, Institut für Energie und Klimaforschung IEK-8, 52425 Jülich, Germany
| | - Jeffrey L. Anderson
- Computational and Information Systems Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
| | - Marielle Saunois
- Laboratoire des Sciences du Climat et de l’Environnement, LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | | | - Jung-Hun Woo
- Department of Advanced Technology Fusion, Konkuk University, Seoul, South Korea
| | - Isobel J. Simpson
- Department of Chemistry, University of California, Irvine, Irvine, CA 92697, USA
| | - Donald R. Blake
- Department of Chemistry, University of California, Irvine, Irvine, CA 92697, USA
| | - Simone Meinardi
- Department of Chemistry, University of California, Irvine, Irvine, CA 92697, USA
| | | | - John Crounse
- California Institute of Technology, Pasadena, CA, USA
| | - Alex Teng
- California Institute of Technology, Pasadena, CA, USA
| | - Michelle Kim
- California Institute of Technology, Pasadena, CA, USA
| | - Russell R. Dickerson
- Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Hao He
- Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Xinrong Ren
- Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA
- Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA
| | - Sally E. Pusede
- Department of Environmental Sciences, University of Virginia, Charlottesville, VA, USA
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Travis KR, Heald CL, Allen HM, Apel EC, Arnold SR, Blake DR, Brune WH, Chen X, Commane R, Crounse JD, Daube BC, Diskin GS, Elkins JW, Evans MJ, Hall SR, Hintsa EJ, Hornbrook RS, Kasibhatla PS, Kim MJ, Luo G, McKain K, Millet DB, Moore FL, Peischl J, Ryerson TB, Sherwen T, Thames AB, Ullmann K, Wang X, Wennberg PO, Wolfe GM, Yu F. Constraining remote oxidation capacity with ATom observations. ATMOSPHERIC CHEMISTRY AND PHYSICS 2020; 20:7753-7781. [PMID: 33688335 PMCID: PMC7939060 DOI: 10.5194/acp-20-7753-2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
The global oxidation capacity, defined as the tropospheric mean concentration of the hydroxyl radical (OH), controls the lifetime of reactive trace gases in the atmosphere such as methane and carbon monoxide (CO). Models tend to underestimate the methane lifetime and CO concentrations throughout the troposphere, which is consistent with excessive OH. Approximately half of the oxidation of methane and non-methane volatile organic compounds (VOCs) is thought to occur over the oceans where oxidant chemistry has received little validation due to a lack of observational constraints. We use observations from the first two deployments of the NASA ATom aircraft campaign during July-August 2016 and January-February 2017 to evaluate the oxidation capacity over the remote oceans and its representation by the GEOS-Chem chemical transport model. The model successfully simulates the magnitude and vertical profile of remote OH within the measurement uncertainties. Comparisons against the drivers of OH production (water vapor, ozone, and NO y concentrations, ozone photolysis frequencies) also show minimal bias, with the exception of wintertime NO y . The severe model overestimate of NO y during this period may indicate insufficient wet scavenging and/or missing loss on sea-salt aerosols. Large uncertainties in these processes require further study to improve simulated NO y partitioning and removal in the troposphere, but preliminary tests suggest that their overall impact could marginally reduce the model bias in tropospheric OH. During the ATom-1 deployment, OH reactivity (OHR) below 3 km is significantly enhanced, and this is not captured by the sum of its measured components (cOHRobs) or by the model (cOHRmod). This enhancement could suggest missing reactive VOCs but cannot be explained by a comprehensive simulation of both biotic and abiotic ocean sources of VOCs. Additional sources of VOC reactivity in this region are difficult to reconcile with the full suite of ATom measurement constraints. The model generally reproduces the magnitude and seasonality of cOHRobs but underestimates the contribution of oxygenated VOCs, mainly acetaldehyde, which is severely underestimated throughout the troposphere despite its calculated lifetime of less than a day. Missing model acetaldehyde in previous studies was attributed to measurement uncertainties that have been largely resolved. Observations of peroxyacetic acid (PAA) provide new support for remote levels of acetaldehyde. The underestimate in both model acetaldehyde and PAA is present throughout the year in both hemispheres and peaks during Northern Hemisphere summer. The addition of ocean sources of VOCs in the model increases cOHRmod by 3% to 9% and improves model-measurement agreement for acetaldehyde, particularly in winter, but cannot resolve the model summertime bias. Doing so would require 100 Tg yr-1 of a long-lived unknown precursor throughout the year with significant additional emissions in the Northern Hemisphere summer. Improving the model bias for remote acetaldehyde and PAA is unlikely to fully resolve previously reported model global biases in OH and methane lifetime, suggesting that future work should examine the sources and sinks of OH over land.
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Affiliation(s)
- Katherine R. Travis
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Colette L. Heald
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hannah M. Allen
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Eric C. Apel
- Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
| | - Stephen R. Arnold
- Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UK
| | - Donald R. Blake
- Department of Chemistry, University of California Irvine, Irvine, CA, USA
| | - William H. Brune
- Department of Meteorology, Pennsylvania State University, University Park, PA, USA
| | - Xin Chen
- University of Minnesota, Department of Soil, Water and Climate, St. Paul, MN, USA
| | - Róisín Commane
- Dept. of Earth & Environmental Sciences of Lamont-Doherty Earth Observatory and Columbia University, Palisades, NY, USA
| | - John D. Crounse
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
| | - Bruce C. Daube
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | | | - James W. Elkins
- Global Monitoring Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - Mathew J. Evans
- Wolfson Atmospheric Chemistry Laboratories (WACL), Department of Chemistry, University of York, York, UK
- National Centre for Atmospheric Science (NCAS), University of York, York, UK
| | - Samuel R. Hall
- Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
| | - Eric J. Hintsa
- Global Monitoring Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
- Cooperative Institute for Research in Environmental Science, University of Colorado, CO, USA
| | - Rebecca S. Hornbrook
- Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
| | | | - Michelle J. Kim
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
- Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Gan Luo
- Atmospheric Sciences Research Center, University of Albany, Albany, NY, USA
| | - Kathryn McKain
- Global Monitoring Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
- Cooperative Institute for Research in Environmental Science, University of Colorado, CO, USA
| | - Dylan B. Millet
- University of Minnesota, Department of Soil, Water and Climate, St. Paul, MN, USA
| | - Fred L. Moore
- Global Monitoring Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
- Cooperative Institute for Research in Environmental Science, University of Colorado, CO, USA
| | - Jeffrey Peischl
- Cooperative Institute for Research in Environmental Science, University of Colorado, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - Thomas B. Ryerson
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - Tomás Sherwen
- Wolfson Atmospheric Chemistry Laboratories (WACL), Department of Chemistry, University of York, York, UK
- National Centre for Atmospheric Science (NCAS), University of York, York, UK
| | - Alexander B. Thames
- Department of Meteorology, Pennsylvania State University, University Park, PA, USA
| | - Kirk Ullmann
- Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
| | - Xuan Wang
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
- School of Energy and Environment, City University of Hong Kong, Hong Kong, China
| | - Paul O. Wennberg
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
- Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Glenn M. Wolfe
- Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Fangqun Yu
- Atmospheric Sciences Research Center, University of Albany, Albany, NY, USA
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Huang M, Crawford JH, Diskin GS, Santanello JA, Kumar SV, Pusede SE, Parrington M, Carmichael GR. Modeling regional pollution transport events during KORUS-AQ: Progress and challenges in improving representation of land-atmosphere feedbacks. JOURNAL OF GEOPHYSICAL RESEARCH. ATMOSPHERES : JGR 2018; 123:10732-10756. [PMID: 32742896 PMCID: PMC7394289 DOI: 10.1029/2018jd028554] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Accepted: 08/12/2018] [Indexed: 05/22/2023]
Abstract
This study evaluates the impact of assimilating soil moisture data from NASA's Soil Moisture Active Passive (SMAP) on short-term regional weather and air quality modeling in East Asia during the Korea-US Air Quality Study (KORUS-AQ) airborne campaign. SMAP data are assimilated into the Noah land surface model using an ensemble Kalman filter approach in the Land Information System framework, which is semi-coupled with the NASA-Unified Weather Research and Forecasting model with online chemistry (NUWRF-Chem). With SMAP assimilation included, water vapor and carbon monoxide (CO) transport from northern-central China transitional climate zones to South Korea is better represented in NUWRF-Chem during two studied pollution events. Influenced by different synoptic conditions and emission patterns, impact of SMAP assimilation on modeled CO in South Korea is intense (>30 ppbv) during one event and less significant (<8 ppbv) during the other. SMAP assimilation impact on air quality modeling skill is complicated by other error sources such as the chemical initial and boundary conditions (IC/LBC) and emission inputs of NUWRF-Chem. Using a satellite-observation-constrained chemical IC/LBC instead of a free-running, coarser-resolution chemical IC/LBC reduces modeled CO by up to 80 ppbv over South Korea. Consequently, CO performance is improved in the middle-upper troposphere whereas degraded in the lower troposphere. Remaining negative CO biases result largely from the emissions inputs. The advancements in land surface modeling and chemical IC/LBC presented here are expected to benefit future investigations on constraining emissions using observations, which can in turn enable more accurate assessments of SMAP assimilation and chemical IC/LBC impacts.
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Affiliation(s)
- Min Huang
- George Mason University, Fairfax, VA, USA
| | | | | | | | | | | | - Mark Parrington
- European Centre for Medium-Range Weather Forecasts, Reading, UK
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4
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Jensen EJ, Thornberry T, Rollins A, Ueyama R, Pfister L, Bui TV, Diskin GS, DiGangi JP, Hintsa E, Gao RS, Woods S, Lawson RP, Pittman J. Physical Processes Controlling the Vertical and Longitudinal Distributions of Relative Humidity in the Tropical Tropopause Layer Over the Pacific. JOURNAL OF GEOPHYSICAL RESEARCH. ATMOSPHERES : JGR 2017; 122:6094-6107. [PMID: 31534878 PMCID: PMC6749611 DOI: 10.1002/2017jd026632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The vertical distribution of relative humidity with respect to ice (RHI) in the Boreal wintertime Tropical Tropopause Layer (TTL, ≃14-18 km) over the Pacific is examined with the extensive dataset of measurements from the NASA Airborne Tropical TRopopause EXperiment (ATTREX). Multiple deployments of the Global Hawk during ATTREX provided hundreds of vertical profiles spanning the longitudinal extent of the Pacific with accurate measurements of temperature, pressure, water vapor concentration, ozone concentration, and cloud properties. We also compare the measured RHI distributions with results from a transport and microphysical model driven by meteorological analysis fields. Notable features in the distribution of RHI versus temperature and longitude include (1) the common occurrence of RHI values near ice saturation over the western Pacific in the lower-middle TTL (temperatures greater than 195 K); (2) low RHI values in the lower TTL over the central and eastern Pacific; (3) common occurrence of RHI values following a constant mixing ratio in the middle-to-upper TTL (temperatures between about 190 and 200 K), particularly for samples with ozone greater than about 50-100 ppbv indicating mixtures of tropospheric and stratospheric air; (4) RHI values typically near ice saturation in the coldest airmasses sampled (temperatures less than about 190 K); and (5) common occurrence of RHI values near 100% across the TTL temperature range in air parcels with low ozone mixing ratio (O3 < 50 ppbv) indicative of recent uplift by deep convection. We suggest that the typically saturated air in the lower TTL over the western Pacific is likely driven by a combination of the frequent occurrence of deep convection and the predominance of radiative heating (rising motion) in this region. The low relative humidities in the central/eastern Pacific lower TTL result from the lack of convective influence, the predominance of subsidence, and the relatively warm temperatures in the region. The nearly-constant water vapor mixing ratios in the middle-to-upper TTL likely result from the combination of slow ascent (resulting in long residence times) and wave driven temperature variability on a range of time scales (resulting in most air parcels having experienced low temperature and dehydration). The numerical simulations generally reproduce the observed RHI distribution features and sensitivity tests further emphasize the strong sensitivities of TTL relative humidity to convective input and vertical motions.
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Affiliation(s)
- Eric J Jensen
- NASA Ames Research Center, Moffett Field, California, USA
| | | | | | - Rei Ueyama
- NASA Ames Research Center, Moffett Field, California, USA
| | | | - Theopaul V Bui
- NASA Ames Research Center, Moffett Field, California, USA
| | - Glenn S Diskin
- NOAA Earth Science Research Laboratory and Cooperative Institute for Research in Environmental Science, Boulder, Colorado, USA
| | - Joshua P DiGangi
- NOAA Earth Science Research Laboratory and Cooperative Institute for Research in Environmental Science, Boulder, Colorado, USA
| | - Eric Hintsa
- NASA Langley Research Center, Hampton, Virginia, USA
| | - Ru-Shan Gao
- NOAA Earth Science Research Laboratory, Boulder, Colorado, USA
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Cheng M, Lu C, Liu Y. Variation in entrainment rate and relationship with cloud microphysical properties on the scale of 5 m. Sci Bull (Beijing) 2015. [DOI: 10.1007/s11434-015-0737-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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6
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Rollins AW, Thornberry TD, Gao RS, Smith JB, Sayres DS, Sargent MR, Schiller C, Krämer M, Spelten N, Hurst DF, Jordan AF, Hall EG, Vömel H, Diskin GS, Podolske JR, Christensen LE, Rosenlof KH, Jensen EJ, Fahey DW. Evaluation of UT/LS hygrometer accuracy by intercomparison during the NASA MACPEX mission. JOURNAL OF GEOPHYSICAL RESEARCH. ATMOSPHERES : JGR 2014; 119:1915-1935. [PMID: 28845379 PMCID: PMC5571761 DOI: 10.1002/2013jd020817] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Acquiring accurate measurements of water vapor at the low mixing ratios (< 10 ppm) encountered in the upper troposphere and lower stratosphere (UT/LS) has proven to be a significant analytical challenge evidenced by persistent disagreements between high-precision hygrometers. These disagreements have caused uncertainties in the description of the physical processes controlling dehydration of air in the tropical tropopause layer and entry of water into the stratosphere and have hindered validation of satellite water vapor retrievals. A 2011 airborne intercomparison of a large group of in situ hygrometers onboard the NASA WB-57F high-altitude research aircraft and balloons has provided an excellent opportunity to evaluate progress in the scientific community toward improved measurement agreement. In this work we intercompare the measurements from the Midlatitude Airborne Cirrus Properties Experiment (MACPEX) and discuss the quality of agreement. Differences between values reported by the instruments were reduced in comparison to some prior campaigns but were nonnegligible and on the order of 20% (0.8 ppm). Our analysis suggests that unrecognized errors in the quantification of instrumental background for some or all of the hygrometers are a likely cause. Until these errors are understood, differences at this level will continue to somewhat limit our understanding of cirrus microphysical processes and dehydration in the tropical tropopause layer.
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Affiliation(s)
- A. W. Rollins
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, Colorado, USA
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA
| | - T. D. Thornberry
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, Colorado, USA
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA
| | - R. S. Gao
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, Colorado, USA
| | - J. B. Smith
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts, USA
| | - D. S. Sayres
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts, USA
| | - M. R. Sargent
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts, USA
| | - C. Schiller
- IEK-7, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - M. Krämer
- IEK-7, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - N. Spelten
- IEK-7, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - D. F. Hurst
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA
- Global Monitoring Division, NOAA Earth System Research Laboratory, Boulder, Colorado, USA
| | - A. F. Jordan
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA
- Global Monitoring Division, NOAA Earth System Research Laboratory, Boulder, Colorado, USA
| | - E. G. Hall
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA
- Global Monitoring Division, NOAA Earth System Research Laboratory, Boulder, Colorado, USA
| | - H. Vömel
- GRUAN/Deutscher Wetterdienst, Lindenberg, Germany
| | - G. S. Diskin
- NASA Langley Research Center, Hampton, Virginia, USA
| | - J. R. Podolske
- NASA Ames Research Center, Moffett Field, California, USA
| | - L. E. Christensen
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
| | - K. H. Rosenlof
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, Colorado, USA
| | - E. J. Jensen
- NASA Ames Research Center, Moffett Field, California, USA
| | - D. W. Fahey
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, Colorado, USA
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA
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Sargent MR, Sayres DS, Smith JB, Witinski M, Allen NT, Demusz JN, Rivero M, Tuozzolo C, Anderson JG. A new direct absorption tunable diode laser spectrometer for high precision measurement of water vapor in the upper troposphere and lower stratosphere. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2013; 84:074102. [PMID: 23902086 DOI: 10.1063/1.4815828] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
We present a new instrument for the measurement of water vapor in the upper troposphere and lower stratosphere (UT∕LS), the Harvard Herriott Hygrometer (HHH). HHH employs a tunable diode near-IR laser to measure water vapor via direct absorption in a Herriott cell. The direct absorption technique provides a direct link between the depth of the observed absorption line and the measured water vapor concentration, which is calculated based on spectroscopic parameters in the HITRAN database. While several other tunable diode laser (TDL) instruments have been used to measure water vapor in the UT∕LS, HHH is set apart by its use of an optical cell an order of magnitude smaller than those of other direct absorption TDLs in operation, allowing for a more compact, lightweight instrument. HHH is also unique in its integration into a common duct with the Harvard Lyman-α hygrometer, an independent photo-fragment fluorescence instrument which has been thoroughly validated over 19 years of flight measurements. The instrument was flown for the first time in the Mid-latitude Airborne Cirrus Properties Experiment (MACPEX) on NASA's WB-57 aircraft in spring, 2011, during which it demonstrated in-flight precision of 0.1 ppmv (1 s) with 1-sigma uncertainty of 5% ± 0.7 ppmv. Since the campaign, changes to the instrument have lead to improved accuracy of 5% ± 0.2 ppmv as demonstrated in the laboratory. During MACPEX, HHH successfully measured water vapor at concentrations from 3.5 to 600 ppmv in the upper troposphere and lower stratosphere. HHH and Lyman-α, measuring independently but under the same sampling conditions, agreed on average to within 1% at water vapor mixing ratios above 20 ppmv and to within 0.3 ppmv at lower mixing ratios. HHH also agreed with a number of other in situ water vapor instruments on the WB-57 to within their stated uncertainties, and to within 0.7 ppmv at low water. This agreement constitutes a significant improvement over past in situ comparisons, in which differences of 1.5-2 ppmv were routinely observed, and demonstrates that the accuracy of HHH is consistent with other instruments which use a range of detection methods and sampling techniques.
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Affiliation(s)
- M R Sargent
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA.
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Abstract
Optically thin cirrus near the tropical tropopause regulate the humidity of air entering the stratosphere, which in turn has a strong influence on the Earth's radiation budget and climate. Recent high-altitude, unmanned aircraft measurements provide evidence for two distinct classes of cirrus formed in the tropical tropopause region: (i) vertically extensive cirrus with low ice number concentrations, low extinctions, and large supersaturations (up to ∼70%) with respect to ice; and (ii) vertically thin cirrus layers with much higher ice concentrations that effectively deplete the vapor in excess of saturation. The persistent supersaturation in the former class of cirrus is consistent with the long time-scales (several hours or longer) for quenching of vapor in excess of saturation given the low ice concentrations and cold tropical tropopause temperatures. The low-concentration clouds are likely formed on a background population of insoluble particles with concentrations less than 100 L(-1) (often less than 20 L(-1)), whereas the high ice concentration layers (with concentrations up to 10,000 L(-1)) can only be produced by homogeneous freezing of an abundant population of aqueous aerosols. These measurements, along with past high-altitude aircraft measurements, indicate that the low-concentration cirrus occur frequently in the tropical tropopause region, whereas the high-concentration cirrus occur infrequently. The predominance of the low-concentration clouds means cirrus near the tropical tropopause may typically allow entry of air into the stratosphere with as much as ∼1.7 times the ice saturation mixing ratio.
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Zondlo MA, Paige ME, Massick SM, Silver JA. Vertical cavity laser hygrometer for the National Science Foundation Gulfstream-V aircraft. ACTA ACUST UNITED AC 2010. [DOI: 10.1029/2010jd014445] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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St Clair JM, McCabe DC, Crounse JD, Steiner U, Wennberg PO. Chemical ionization tandem mass spectrometer for the in situ measurement of methyl hydrogen peroxide. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2010; 81:094102. [PMID: 20886995 DOI: 10.1063/1.3480552] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
A new approach for measuring gas-phase methyl hydrogen peroxide [(MHP) CH(3)OOH] utilizing chemical ionization mass spectrometry is presented. Tandem mass spectrometry is used to avoid mass interferences that hindered previous attempts to measure atmospheric CH(3)OOH with CF(3)O(-) clustering chemistry. CH(3)OOH has been successfully measured in situ using this technique during both airborne and ground-based campaigns. The accuracy and precision for the MHP measurement are a function of water vapor mixing ratio. Typical precision at 500 pptv MHP and 100 ppmv H(2)O is ±80 pptv (2 sigma) for a 1 s integration period. The accuracy at 100 ppmv H(2)O is estimated to be better than ±40%. Chemical ionization tandem mass spectrometry shows considerable promise for the determination of in situ atmospheric trace gas mixing ratios where isobaric compounds or mass interferences impede accurate measurements.
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Affiliation(s)
- Jason M St Clair
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California 91125, USA
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Tilmes S, Pan LL, Hoor P, Atlas E, Avery MA, Campos T, Christensen LE, Diskin GS, Gao RS, Herman RL, Hintsa EJ, Loewenstein M, Lopez J, Paige ME, Pittman JV, Podolske JR, Proffitt MR, Sachse GW, Schiller C, Schlager H, Smith J, Spelten N, Webster C, Weinheimer A, Zondlo MA. An aircraft-based upper troposphere lower stratosphere O3, CO, and H2O climatology for the Northern Hemisphere. ACTA ACUST UNITED AC 2010. [DOI: 10.1029/2009jd012731] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Gamblin B, Toon OB, Tolbert MA, Kondo Y, Takegawa N, Irie H, Koike M, Ballenthin JO, Hunton DE, Miller TM, Viggiano AA, Anderson BE, Avery M, Sachse GW, Podolske JR, Guenther K, Sorenson C, Mahoney MJ. Nitric acid condensation on ice: 1. Non-HNO3constituent of NOYcondensing cirrus particles on upper tropospheric. ACTA ACUST UNITED AC 2006. [DOI: 10.1029/2005jd006048] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Crounse JD, McKinney KA, Kwan AJ, Wennberg PO. Measurement of Gas-Phase Hydroperoxides by Chemical Ionization Mass Spectrometry. Anal Chem 2006; 78:6726-32. [PMID: 17007490 DOI: 10.1021/ac0604235] [Citation(s) in RCA: 256] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
A new method for the detection of gas-phase hydroperoxides is described. The clustering chemistry of CF3O- is exploited to produce speciated measurements of several hydroperoxides with high sensitivity and fast time response. Correspondence of airborne observations made with this technique and the established HPLC method is illustrated. CF3O- appears to be a highly versatile reagent ion for measurements of both weak and strong acids in the atmosphere.
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Affiliation(s)
- John D Crounse
- Division of Chemistry and Chemical Engineering, California Institute of Technology, MC 150-21, 1200 East California Boulevard, Pasadena, California 91125, USA.
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Wild O. Chemical transport model ozone simulations for spring 2001 over the western Pacific: Regional ozone production and its global impacts. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2003jd004041] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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