Update FLDAS-soilmoisture-anomalies.data.mdx

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:
   	<Prose>
 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
 
 </Prose>
 </Block>
-
-<Block>
-<Prose>