chore: sync ORCID publications

Author: github-actions[bot]

publications/frankenberg2025on.qmd

@@ -0,0 +1,17 @@
+---
+title: 'On the Use of N<sub>2</sub>O as a Light‐Path Proxy for Accurate Greenhouse Gas Measurements From Space'
+author: 'Frankenberg, C. and Sanghavi, S. and Saha, A. and Wennberg, P. O. and Jacob, D. J. and Michalak, A. M.'
+type: 'journal-article'
+year: 2025
+publication: 'Geophysical Research Letters'
+doi: '10.1029/2024gl114131'
+materials: ''
+supplement: ''
+orcid_type: 'journal-article'
+toc: false
+---
+
+## Abstract
+
+Abstract
+Accurate greenhouse gas retrievals require either precise radiative transfer modeling or light‐path proxies to separate trace gas variations from photon path‐length changes caused by scattering. Nitrous oxide (O) is a compelling light‐path proxy, particularly in challenging environments such as the humid tropics, where current retrieval methods face low data yields due to persistent partial cloud cover and substantial surface heterogeneity. This study evaluates O as a proxy for  and  retrievals, leveraging its spectral proximity and atmospheric stability. Radiative transfer simulations demonstrate that O effectively mitigates errors from scattering and albedo variability, especially for , demonstrating consistent performance across high aerosol optical depths and low albedos. While  requires small adjustments due to its partially saturated band, the proxy approach offers significant advantages. These findings underscore the promise of O‐based retrievals to enhance data quality for future greenhouse gas satellite missions.

publications/publications.bib

@@ -20,6 +20,17 @@ @article{magney2025tracking
  year = {2025}
 }
 
+@article{frankenberg2025on,
+ abstract = {Abstract
+                  Accurate greenhouse gas retrievals require either precise radiative transfer modeling or light‐path proxies to separate trace gas variations from photon path‐length changes caused by scattering. Nitrous oxide (O) is a compelling light‐path proxy, particularly in challenging environments such as the humid tropics, where current retrieval methods face low data yields due to persistent partial cloud cover and substantial surface heterogeneity. This study evaluates O as a proxy for  and  retrievals, leveraging its spectral proximity and atmospheric stability. Radiative transfer simulations demonstrate that O effectively mitigates errors from scattering and albedo variability, especially for , demonstrating consistent performance across high aerosol optical depths and low albedos. While  requires small adjustments due to its partially saturated band, the proxy approach offers significant advantages. These findings underscore the promise of O‐based retrievals to enhance data quality for future greenhouse gas satellite missions.},
+ author = {Frankenberg, C. and Sanghavi, S. and Saha, A. and Wennberg, P. O. and Jacob, D. J. and Michalak, A. M.},
+ doi = {10.1029/2024gl114131},
+ journal = {Geophysical Research Letters},
+ orcid_type = {journal-article},
+ title = {On the Use of N2 ${\mathbf{N}}_{\mathbf{2}}$O as a Light‐Path Proxy for Accurate Greenhouse Gas Measurements From Space},
+ year = {2025}
+}
+
 @article{parazoo2025a,
  abstract = {Abstract
                   Managing carbon stocks in the land, ocean, and atmosphere under changing climate requires a globally‐integrated view of carbon cycle processes at local and regional scales. The growing Earth Observation (EO) record is the backbone of this multi‐scale system, providing local information with discrete coverage from surface measurements and regional information at global scale from satellites. Carbon flux information, anchored by inverse estimates from spaceborne Greenhouse Gas (GHG) concentrations, provides an important top‐down view of carbon emissions and sinks, but currently lacks global continuity at assessment and management scales (<100 km). Partial‐column data can help separate signals in the boundary layer from the overlying atmosphere, providing an opportunity to enhance surface sensitivity and bring flux resolution down from that of column‐integrated data (100–500 km). Based on a workshop held in September 2024, the carbon cycle community envisions a carbon observation system leveraging GHG partial columns in the lower and upper troposphere to weave together information across scales from surface and satellite EO data, and integration of top‐down/bottom‐up analyses to link process understanding to global assessment.},