A5076987519- Atmospheric and Environmental Gas Dynamics
- Atmospheric Ozone and Climate
- Atmospheric chemistry and aerosols
- Spectroscopy and Laser Applications
- Geochemistry and Geologic Mapping
- Air Quality Monitoring and Forecasting
- Hydrocarbon exploration and reservoir analysis
- Methane Hydrates and Related Phenomena
- Air Quality and Health Impacts
- Fault Detection and Control Systems
- Nuclear Physics and Applications
- Health, Environment, Cognitive Aging
- Climate Change and Health Impacts
- Astro and Planetary Science
- Climate variability and models
- Analytical Chemistry and Sensors
- Calibration and Measurement Techniques
- Vehicle emissions and performance
- Spacecraft and Cryogenic Technologies
- Meteorological Phenomena and Simulations
- stochastic dynamics and bifurcation
- Odor and Emission Control Technologies
- Nonlinear Dynamics and Pattern Formation
- Climate Change Policy and Economics
- Oil Spill Detection and Mitigation
Jet Propulsion Laboratory
2019-2025
University of the Philippines Diliman
2020
California Institute of Technology
2017-2019
Karlsruhe Institute of Technology
2014-2019
University of Bonn
2014
Abstract. NASA's Orbiting Carbon Observatory-2 (OCO-2) has been measuring carbon dioxide column-averaged dry-air mole fraction, XCO2, in the Earth's atmosphere for over 2 years. In this paper, we describe comparisons between first major release of OCO-2 retrieval algorithm (B7r) and XCO2 from OCO-2's primary ground-based validation network: Total Column Observing Network (TCCON). The retrievals, after filtering bias correction, agree well when aggregated around coincident with TCCON data...
Abstract. Since September 2014, NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite has been taking measurements of reflected solar spectra and using them to infer atmospheric carbon dioxide levels. This work provides details the OCO-2 retrieval algorithm, versions 7 8, used derive column-averaged dry air mole fraction CO2 (XCO2) for roughly 100 000 cloud-free recorded by each day. The algorithm is based on Atmospheric Observations from Space (ACOS) which applied observations Greenhouse...
Abstract. In a 3.5-year long study, the long-term performance of mobile, solar absorption Bruker EM27/SUN spectrometer, used for greenhouse gas observations, is checked with respect to co-located reference IFS 125HR which part Total Carbon Column Observing Network (TCCON). We find that stable on timescales several years; drift per year between and official TCCON product 0.02 ppmv XCO2 0.9 ppbv XCH4, within 1σ precision comparison, 0.6 4.3 XCH4. The bias two data sets 3.9 13.0 order avoid...
Abstract. All measurements of XCO2 from space have systematic errors. To reduce a large fraction these errors, bias correction is applied to retrieved GOSAT and OCO-2 spectra using the ACOS retrieval algorithm. The uses, among other parameters, surface pressure difference between meteorological reanalysis. Relative errors in estimates, however, propagate nearly 1:1 into relative bias-corrected XCO2. For OCO-2, small knowledge pointing observatory (up ∼130 arcsec) introduce regions with rough...
NASA's Orbiting Carbon Observatory-3 (OCO-3) was installed on the International Space Station (ISS) 10 May 2019. OCO-3 combines flight spare spectrometer from Observatory-2 (OCO-2) mission, which has been in operation since 2014, with a new Pointing Mirror Assembly (PMA) that facilitates observations of non-nadir targets nadir-oriented ISS platform. The PMA is feature OCO-3, being used to collect data all science modes, including nadir (ND), sun-glint (GL), target (TG), and snapshot area...
NASA's Orbiting Carbon Observatory-3 (OCO-3) was designed to support the quantification and monitoring of anthropogenic CO2 emissions. Its Snapshot Area Map (SAM) target mode measurements provide an innovative dataset for carbon studies on sub-city scales. Unlike any other current space-based instrument, OCO-3 has ability scan large contiguous areas emission hot spots like cities, power plants, volcanoes. These result in dense, fine-scale spatial maps column averaged dry-air mole fractions...
We present CO2 emission estimates for twenty power plants and related facilities in the United States, India, South Africa, Poland, Russia Korea, derived from space-based observations NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite. Improvements to OCO-2 data quality our methodology yield improved results relative earlier work. These new include quantification both larger smaller plants, first plant estimate based on ocean glint emissions a small city with multiple industrial...
We quantify CO 2 emissions from Europe’s largest fossil fuel power plant, the Bełchatόw Power Station in Poland, using observations NASA’s Orbiting Carbon Observatory (OCO) and 3 missions on 10 occasions March 2017 to June 2022. The space-based emission estimates reveal changes with a trend that is consistent independent reported hourly generation results both permanent temporary unit shutdowns. OCO-2 OCO-3 agree bottom-up within their respective 1 σ uncertainties for 9 of occasions....
Abstract. The version 10 (v10) Atmospheric Carbon Observations from Space (ACOS) Level 2 full-physics (L2FP) retrieval algorithm has been applied to multiyear records of observations NASA's Orbiting Observatory and 3 sensors (OCO-2 OCO-3, respectively) provide estimates the carbon dioxide (CO2) column-averaged dry-air mole fraction (XCO2). In this study, a number improvements ACOS v10 L2FP are described. post-processing quality filtering bias correction XCO2 against multiple truth proxies...
Abstract. The Total Carbon Column Observing Network (TCCON) measures column-average mole fractions of several greenhouse gases (GHGs) beginning in 2004 from over 30 current or past measurement sites around the world, using solar absorption spectroscopy near infrared region. TCCON GHG data have been used extensively for multiple purposes, including studies carbon cycle and anthropogenic emissions as well to validate improve observations made spacebased sensors. Here, we describe an update...
Abstract. The Total Carbon Column Observing Network (TCCON) measures column-average mole fractions of several greenhouse gases (GHGs), beginning in 2004, from over 30 current or past measurement sites around the world using solar absorption spectroscopy near-infrared (near-IR) region. TCCON GHG data have been used extensively for multiple purposes, including studies carbon cycle and anthropogenic emissions, as well to validate improve observations space-based sensors. Here, we describe an...
Abstract. A comprehensive calibration procedure for mobile, low-resolution, solar-absorption FTIR spectrometers, used greenhouse gases observations, is developed. These instruments commend themselves campaign use and deployment at remote sites. The instrumental line shape (ILS) of each spectrometer has been thoroughly characterized by analyzing the H2O signatures in open path spectra. setup external source suggested invariance derived ILS parameters with regard to chosen length demonstrated....
Abstract. Five portable Bruker EM27/SUN FTIR (Fourier transform infrared) spectrometers have been used for the accurate and precise observation of column-averaged abundances CO2 CH4 around major city Berlin. In work by Frey et al. (2015), a calibration procedure is developed applied to set Berlin campaign. Here, we describe observational setup campaign aspects data analysis, present recorded time series XCH4 XCO2. We demonstrate that emissions can be clearly identified in observations. A...
Abstract. On 13 October 2017, the European Space Agency (ESA) successfully launched Sentinel-5 Precursor satellite with Tropospheric Monitoring Instrument (TROPOMI) as its single payload. TROPOMI is first of ESA's atmospheric composition Sentinel missions, which will provide complete long-term records trace gases for coming 30 years a contribution to Union's Earth Observing program Copernicus. One TROPOMI's primary products carbon monoxide (CO). It observed daily global coverage and high...
Abstract. The portable FTIR (Fourier transform infrared) spectrometer EM27/SUN, dedicated to the precise and accurate observation of column-averaged abundances methane carbon dioxide, has been equipped with a second detector channel, which allows detection additional species, especially monoxide. This an improved characterisation observed dioxide enhancements makes extended suitable as validation tool ESA's Sentinel 5 Precursor mission, it now covers same spectral region used by infrared...
Abstract. The Thermal And Near infrared Sensor for carbon Observation – Fourier Transform Spectrometer (TANSO-FTS) on the Japanese Greenhouse gases Observing SATellite (GOSAT) has been returning data since April 2009. version 9 (v9) Atmospheric Carbon Observations from Space (ACOS) Level 2 Full Physics (L2FP) retrieval algorithm (Kiel et al., 2019) was used to derive estimates of dioxide (CO2) dry air mole fraction (XCO2) TANSO-FTS measurements collected over its first 11 years operation....
Abstract. Optimal estimation retrievals of trace gas total columns require prior vertical profiles the gases retrieved to drive forward model and ensure retrieval problem is mathematically well posed. For well-mixed gases, it possible derive accurate using an algorithm that accounts for general patterns atmospheric transport coupled with measured time series in questions. Here we describe used generate GGG2020, a new version GGG analyze spectra from solar-viewing Fourier transform...
Abstract. Knowledge of surface pressure is essential for calculating column-averaged dry-air mole fractions trace gases, such as CO2 (XCO2). In the NASA Orbiting Carbon Observatory 2 (OCO-2) Atmospheric Observations from Space (ACOS) retrieval algorithm, retrieved pressures have been found to unacceptable errors, warranting a parametric bias correction. This correction depends on difference between and priori pressures, which are derived meteorological model that hypsometrically adjusted...
Abstract Top‐down estimates of CO 2 fluxes are typically constrained by either surface‐based or space‐based observations. Both these measurement types have spatial and temporal gaps in observational coverage that can lead to differences inferred fluxes. Assimilating both measurements concurrently a flux inversion framework improves reduces sampling related artifacts. This study examines the consistency constraints provided different observations potential combine them performing series...
Abstract. Observations of carbon monoxide (CO) from the Measurements Of Pollution In The Troposphere (MOPITT) instrument aboard Terra spacecraft were expected to have an accuracy 10 % prior launch in 1999. Here we evaluate MOPITT Version 7 joint (V7J) thermal-infrared and near-infrared (TIR–NIR) retrieval precision suggest ways further improve observations. We take five steps involving filtering or bias corrections reduce scatter data relative other soundings ground-based measurements. (1)...
Abstract. The Atmospheric Carbon Observations from Space (ACOS) retrieval algorithm has been delivering operational column-averaged carbon dioxide dry-air mole fraction (XCO2) data for the Orbiting Observatory (OCO) missions since 2014. ACOS Level 2 Full Physics (L2FP) retrieves a number of parameters, including aerosol and surface properties, in addition to atmospheric CO2. Past analysis shown that while meets mission precision requirements 0.1 %–0.5 % XCO2, residual biases some...
The COllaborative Carbon Column Observing Network has become a reliable source of high-quality ground-based remote sensing network data that provide column-averaged dry-air mole fractions carbon dioxide (XCO2), methane (XCH4), and monoxide (XCO). fiducial reference measurements these gases from the COCCON complement TCCON NDACC-IRWG data. This study shows application for validation existing greenhouse gas satellite products. includes XCH4 XCO products European Copernicus Sentinel-5 Precursor...
We present a novel approach to data quality filtering that combines science methods with domain expertise remove low-quality retrievals from the Orbiting Carbon Observatory-2 (OCO-2) column-averaged dry-air mole fraction of carbon dioxide (XCO2) record. employ Machine Learning-based filters are tuned by Bayesian multi-objective optimization aims minimizes error variance and correction uncertainty while maximizing throughput. Domain physical constraints integrated during process along...
Cities with their large, dense populations are concentrated sources of CO2 emissions to the atmosphere. Although more than 60% global fossil fuel from cities, yet we lack high-quality city-level inventories and/or independent verification datasets across majority cities. Several cities have also adopted ambitious goals reaching net-zero by 2030 or 2050. In fact, most recently at COP28, several including those in non-Annex I countries, signed up be part Coalition for High Ambition Multilevel...