Articles | Volume 26, issue 11
Hydrol. Earth Syst. Sci., 26, 2997–3019, 2022
https://doi.org/10.5194/hess-26-2997-2022

Special issue: Microwave remote sensing for improved understanding of vegetation–water...

Hydrol. Earth Syst. Sci., 26, 2997–3019, 2022
https://doi.org/10.5194/hess-26-2997-2022
Research article
 | Highlight paper
15 Jun 2022
Research article  | Highlight paper | 15 Jun 2022

The influence of vegetation water dynamics on the ASCAT backscatter–incidence angle relationship in the Amazon

Ashwini Petchiappan et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-406', Anonymous Referee #1, 12 Oct 2021
  • RC2: 'Comment on hess-2021-406', Anonymous Referee #2, 11 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (21 Dec 2021) by Julia K. Green
AR by Susan Steele-Dunne on behalf of the Authors (12 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (24 Jan 2022) by Julia K. Green
RR by Anonymous Referee #2 (13 Mar 2022)
RR by Anonymous Referee #1 (23 Mar 2022)
ED: Publish subject to revisions (further review by editor and referees) (04 Apr 2022) by Julia K. Green
AR by Susan Steele-Dunne on behalf of the Authors (19 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (24 Apr 2022) by Julia K. Green
Download
Executive editor
How vegetation responds to changing climate will have large implications for our global carbon and water cycles. This study shows the potential of using C-band scatterometer data to investigate vegetation status-- with over a 30 year record. Many applications related to biosphere-atmosphere interactions could potentially develop from here and improve weather and climate predictions, and model evaluation in terms of their representation of vegetation dynamics.
Short summary
This study investigates spatial and temporal patterns in the incidence angle dependence of backscatter from the ASCAT C-band scatterometer and relates those to precipitation, humidity, and radiation data and GRACE equivalent water thickness in ecoregions in the Amazon. The results show that the ASCAT data record offers a unique perspective on vegetation water dynamics exhibiting sensitivity to moisture availability and demand and phenological change at interannual, seasonal, and diurnal scales.