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Open AccessJournal ArticleDOI

Profiles of CH 4 , HDO, H 2 O, and N 2 O with improved lower tropospheric vertical resolution from Aura TES radiances

TLDR
In this paper, the TES profile retrieval algorithm used a "spectral-window" approach to minimize uncertainty from interfering species at the expense of reduced vertical resolution and sensitivity; however, the results of this approach are not consistent with actual uncertainties.
Abstract
. Thermal infrared (IR) radiances measured near 8 microns contain information about the vertical distribution of water vapor (H2O), the water isotopologue HDO, and methane (CH4), key gases in the water and carbon cycles. Previous versions (Version 4 or less) of the TES profile retrieval algorithm used a "spectral-window" approach to minimize uncertainty from interfering species at the expense of reduced vertical resolution and sensitivity. In this manuscript we document changes to the vertical resolution and uncertainties of the TES version 5 retrieval algorithm. In this version (Version 5), joint estimates of H2O, HDO, CH4 and nitrous oxide (N2O) are made using radiances from almost the entire spectral region between 1100 cm−1 and 1330 cm−1. The TES retrieval constraints are also modified in order to better use this information. The new H2O estimates show improved vertical resolution in the lower troposphere and boundary layer, while the new HDO/H2O estimates can now profile the HDO/H2O ratio between 925 hPa and 450 hPa in the tropics and during summertime at high latitudes. The new retrievals are now sensitive to methane in the free troposphere between 800 and 150 mb with peak sensitivity near 500 hPa; whereas in previous versions the sensitivity peaked at 200 hPa. However, the upper troposphere methane concentrations are biased high relative to the lower troposphere by approximately 4% on average. This bias is likely related to temperature, calibration, and/or methane spectroscopy errors. This bias can be mitigated by normalizing the CH4 estimate by the ratio of the N2O estimate relative to the N2O prior, under the assumption that the same systematic error affects both the N2O and CH4 estimates. We demonstrate that applying this ratio theoretically reduces the CH4 estimate for non-retrieved parameters that jointly affect both the N2O and CH4 estimates. The relative upper troposphere to lower troposphere bias is approximately 2.8% after this bias correction. Quality flags based upon the vertical variability of the methane and N2O estimates can be used to reduce this bias further. While these new CH4, HDO/H2O, and H2O estimates are consistent with previous TES retrievals in the altitude regions where the sensitivities overlap, future comparisons with independent profile measurement will be required to characterize the biases of these new retrievals and determine if the calculated uncertainties using the new constraints are consistent with actual uncertainties.

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Book ChapterDOI

Carbon and Other Biogeochemical Cycles

TL;DR: For base year 2010, anthropogenic activities created ~210 (190 to 230) TgN of reactive nitrogen Nr from N2 as discussed by the authors, which is at least 2 times larger than the rate of natural terrestrial creation of ~58 Tg N (50 to 100 Tg nr yr−1) (Table 6.9, Section 1a).
Journal ArticleDOI

Hydrologic connectivity constrains partitioning of global terrestrial water fluxes

TL;DR: Two large-scale flux-partitioning approaches were combined to quantify evapotranspiration subcomponents and the hydrologic connectivity of bound, plant-available soil waters with more mobile surface waters.
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Emissions estimation from satellite retrievals: A review of current capability

TL;DR: In this article, a comprehensive literature review and comprising input by both satellite experts and emission inventory specialists, the review identifies several targets that seem promising: large point sources of NOx and SO2, species that are difficult to measure by other means (NH3 and CH4, for example), area sources that cannot easily be quantified by traditional bottom-up methods (such as unconventional oil and gas extraction, shipping, biomass burning, and biogenic sources), and the temporal variation of emissions (seasonal, diurnal, episodic).
Journal ArticleDOI

Stable isotopes in atmospheric water vapor and applications to the hydrologic cycle

TL;DR: Improved measurement and modeling of water vapor isotopic composition opens the door to new advances in the understanding of the atmospheric water cycle, in processes ranging from the marine boundary layer, through deep convection and tropospheric mixing, and into the water cycle of the stratosphere.
Journal ArticleDOI

Satellite observations of atmospheric methane and their value for quantifying methane emissions

TL;DR: In this paper, the authors review the value of current, future, and proposed satellite observations to better quantify and understand methane emissions through inverse analyses, from the global scale down to the scale of point sources and in combination with suborbital (surface and aircraft) data.
References
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Book

Inverse Methods for Atmospheric Sounding: Theory and Practice

TL;DR: This book treats the inverse problem of remote sounding comprehensively, and discusses a wide range of retrieval methods for extracting atmospheric parameters of interest from the quantities such as thermal emission that can be measured remotely.
Journal ArticleDOI

Three‐dimensional model synthesis of the global methane cycle

TL;DR: In this article, the authors used a tracer transport model to simulate the signatures of the major sources and sinks of atmospheric methane in a three-dimensional HO field every 5 days taken from Spivakovsky et al. (1990a, b).
Journal ArticleDOI

Influence of convective processes on the isotopic composition (δ18O and δD) of precipitation and water vapor in the tropics: 2. Physical interpretation of the amount effect

TL;DR: In this article, stable water isotopes (H218O and HDO) have been introduced in a single column model including the Emanuel convection parameterization, and the physical processes underlying the amount effect and propose a methodology to quantify their relative contributions.
Journal ArticleDOI

MOZART, a global chemical transport model for ozone and related chemical tracers: 1. Model description

TL;DR: In this paper, a new global three-dimensional chemical transport model (called MOZART) was developed in the framework of the NCAR Community Climate Model and aimed at studying the distribution and budget of tropospheric ozone and its precursors.
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