From ad8938bce1c7951f6c2220a0582ffa81e026921d Mon Sep 17 00:00:00 2001
From: Jerika Christman <98853455+jerikac@users.noreply.github.com>
Date: Fri, 13 Oct 2023 14:35:50 -0500
Subject: [PATCH] Update FLDAS-soilmoisture-anomalies.data.mdx
---
datasets/FLDAS-soilmoisture-anomalies.data.mdx | 7 +++----
1 file changed, 3 insertions(+), 4 deletions(-)
diff --git a/datasets/FLDAS-soilmoisture-anomalies.data.mdx b/datasets/FLDAS-soilmoisture-anomalies.data.mdx
index 2cd3daf34..750383ffa 100644
--- a/datasets/FLDAS-soilmoisture-anomalies.data.mdx
+++ b/datasets/FLDAS-soilmoisture-anomalies.data.mdx
@@ -37,6 +37,8 @@ layers:
return `${dateFns.format(datetime, 'DD LLL yyyy')}`;
}
legend:
+unit:
+ label: kg mm3/mm3
type: gradient
min: "-0.3"
max: "0.3"
@@ -53,7 +55,7 @@ layers:
FLDAS is the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System. The goal of FLDAS is to use observational and forecast datasets and advanced modeling methods to generate high quality fields of land surface states and fluxes used for FEWS NET decision support. The FLDAS systems are custom instances of the NASA Land Information System (LIS) that have been adapted to work with the domains, data streams, and monitoring and forecast requirements associated with food security assessment in data-sparse, developing countries. Surface soil moisture anomalies are an indicator of wet and dry extremes that have the potential to impact agricultural and food security outcomes.
-**Temporal Extent:** January 1982 to June 2023
+**Temporal Extent:** January 1982 to June 2023
**Temporal Resolution:** Monthly
**Spatial Extent:** Quasi-Global ( -180.0,-60.0,180.0,90.0)
**Spatial Resolution:** 10 km x 10 km
@@ -87,6 +89,3 @@ We gratefully acknowledge the financial support from the NASA Earth Science Appl
-
-
-