Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Diagnosing the representation of surface and layered soil moisture in Earth system models
by
Collier, Nathan O
, Massoud, Elias C
, Shi, Mingjie
, Xu, Min
, Hoffman, Forrest M
in
Earth system models
/ Metadata
/ metadata standards
/ mrsol
/ mrsos
/ Soil layers
/ Soil moisture
/ Soil surfaces
2026
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Diagnosing the representation of surface and layered soil moisture in Earth system models
by
Collier, Nathan O
, Massoud, Elias C
, Shi, Mingjie
, Xu, Min
, Hoffman, Forrest M
in
Earth system models
/ Metadata
/ metadata standards
/ mrsol
/ mrsos
/ Soil layers
/ Soil moisture
/ Soil surfaces
2026
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Diagnosing the representation of surface and layered soil moisture in Earth system models
Journal Article
Diagnosing the representation of surface and layered soil moisture in Earth system models
2026
Request Book From Autostore
and Choose the Collection Method
Overview
Surface soil moisture (mrsos) and vertically integrated soil moisture (mrsol) over the top 10 cm should, by definition, be physically consistent in Earth System Models (ESMs). However, an evaluation of nine CMIP6 models reveals substantial inconsistencies: in some models, mrsos and integrated mrsol agree globally; in others, they align only in specific regions; and in a few, they diverge across all grid cells. These discrepancies arise from a combination of factors, including metadata errors, inconsistent variable definitions, or diagnostic sequencing within the model. We demonstrate how such issues can lead to significant biases, even when both variables are present and seemingly well-defined. As model complexity increases and multi-model comparisons become more common, assumptions about variable equivalence may lead to flawed conclusions. This study highlights the need for routine consistency checks, improved metadata standards, and community-wide practices that ensure reliability of derived variables across ESM outputs, particularly in preparation for CMIP7.
Publisher
IOP Publishing
Subject
This website uses cookies to ensure you get the best experience on our website.