Otto Hasekamp
Organization:
SRON Netherlands Institute for Space Research
Email:
Business Phone:
(062) 823-3345
Business Address:
NWO-I/SRON
Earth Science Group
Niels Bohrweg 4
2333 CA Leiden
NetherlandsCo-Authored Publications:
- Gryspeerdt, E., et al. (2023), Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions, Atmos. Chem. Phys., doi:10.5194/acp-23-4115-2023.
- Kacenelenbogen, M. S., et al. (2022), Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?, Atmos. Chem. Phys., doi:10.5194/acp-22-3713-2022.
- van Diedenhoven, B., et al. (2022), Remote sensing of aerosol water fraction, dry size distribution and soluble fraction using multi-angle, multi-spectral polarimetry, Atmos. Meas. Tech., 15, 7411-7434, doi:10.5194/amt-15-7411-2022.
- Reuter, M., et al. (2020), Ensemble-based satellite-derived carbon dioxide and methane column-averaged dry-air mole fraction data sets (2003–2018) for carbon and climate applications, Atmos. Meas. Tech., 13, 789-819, doi:10.5194/amt-13-789-2020.
- Wu, L., et al. (2020), XCO2 observations using satellite measurements with moderate spectral resolution: investigation using GOSAT and OCO-2 measurements, Atmos. Meas. Tech., 13, 713-729, doi:10.5194/amt-13-713-2020.
- Dubovik, O., et al. (2019), Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives, J. Quant. Spectrosc. Radiat. Transfer, 224, 474-511, doi:10.1016/j.jqsrt.2018.11.024.
- Frouin, R., et al. (2019), Atmospheric Correction of Satellite Ocean-Color Imagery During the PACE Era, Front. Earth Sci., 7, 145, doi:10.3389/feart.2019.00145.
- Jamet, C., et al. (2019), Going Beyond Standard Ocean Color Observations: Lidar and Polarimetry, Front. Mar. Sci., 6, 251, doi:10.3389/fmars.2019.00251.
- Miller, S. M., et al. (2019), China's coal mine methane regulations have not curbed growing emissions, Nature Communications, 10, doi:10.1038/s41467-018-07891.
- Remer, L., et al. (2019), Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry, Multi-Angle and Polarimetry. Front. Environ. Sci., 7, 94, doi:10.3389/fenvs.2019.00094.
- Di Noia, A., et al. (2017), Combined neural network/Phillips–Tikhonov approach to aerosol retrievals over land from the NASA Research Scanning Polarimeter, Atmos. Meas. Tech., 10, 4235-4252, doi:10.5194/amt-10-4235-2017.
- Wu, L., et al. (2016), Passive remote sensing of aerosol layer height using near-UV multiangle polarization measurements, Geophys. Res. Lett., 43, 8783-8790, doi:10.1002/2016GL069848.
- Galli, A., et al. (2014), The impact of spectral resolution on satellite retrieval accuracy of CO2 and CH4, Atmos. Meas. Tech., 7, 1105-1119, doi:10.5194/amt-7-1105-2014.
- Oshchepkov, S., et al. (2013), Effects of atmospheric light scattering on spectroscopic observations of greenhouse gases from space. Part 2: Algorithm intercomparison in the GOSAT data processing for CO2 retrievals over TCCON sites, J. Geophys. Res., 118, 1493-1512, doi:10.1002/jgrd.50146.
- Galli, A., et al. (2012), CH4, CO, and H2O spectroscopy for the Sentinel-5 Precursor mission: an assessment with the Total Carbon Column Observing Network measurements, Atmos. Meas. Tech., 5, 1387-1398, doi:10.5194/amt-5-1387-2012.
- Butz, A., et al. (2011), Toward accurate CO2 and CH4 observations from GOSAT, Geophys. Res. Lett., 38, L14812, doi:10.1029/2011GL047888.
- Lytvynov, P., Otto Hasekamp, and B. Cairns (2011), Models for surface reflection of radiance and polarized radiance: Comparison with airborne multi-angle photopolarimetric measurements and implications for modeling top-of-atmosphere measurements, Remote Sensing of Environment, 115, 781-792, doi:10.1016/j.rse.2010.11.005.
- Lytvynov, P., et al. (2010), Reflection models for soil and vegetation surfaces from multiple-viewing angle photopolarimetric measurements, J. Quant. Spectrosc. Radiat. Transfer, 111, 529-539, doi:10.1016/j.jqsrt.2009.11.001.