Abstract. Vegetation plays a crucial role in regulating the water cycle through transpiration, which is flux from subsurface to atmosphere via roots. The amount and timing of transpiration controlled by interplay seasonal energy supply. latter strongly depends on size root zone storage capacity (Sr), represents maximum accessible volume that vegetation can use for transpiration. Sr primarily influenced hydroclimatic conditions, as optimizes its system such way it guarantees uptake overcomes...

Vegetation plays a crucial role in the land surface water and energy balance modulating interactions feedback with climate at regional to global scale. The availability of unprecedented Earth observation products covering recent decades (and extended up real-time) are therefore paramount importance better represent vegetation its time evolution models (LSMs) used for offline analysis/initialization seasonal-to-decadal predictions. Here, we integrate realistic Leaf Area Index (LAI)...

Quantification of long-term partitioning precipitation into evaporation and runoff is a fundamental pursuit in catchment hydrology. The Budyko framework provides theoretical basis for this estimates the evaporative fraction based on aridity index via curve. However, deviations from global-average curve suggest additional controls beyond index. We hypothesized that root zone storage capacity (Sr), defined as maximum subsurface water accessible to vegetation roots, key driver these deviations....

Abstract. The root zone storage capacity (Sr) is the maximum volume of water in subsurface that can potentially be accessed by vegetation for transpiration. It influences seasonality transpiration as well fast and slow runoff processes. Many studies have shown Sr heterogeneous controlled local climate conditions, which affect strategies sizing their system able to support plant growth prevent shortages. Root parameterization most land surface models does not account this control on...

Abstract. Vegetation largely controls land surface–atmosphere interactions. Although vegetation is highly dynamic across spatial and temporal scales, most surface models currently used for reanalyses near-term climate predictions do not adequately represent these dynamics. This causes deficiencies in the variability of modeled water energy states fluxes from surface. In this study we evaluated effects integrating spatially temporally varying cover characteristics derived satellite...

Abstract. The root zone storage capacity Sr is the maximum volume of water in subsurface that can potentially be accessed by vegetation for transpiration. It influences seasonality transpiration as well fast and slow runoff processes. Many studies have shown heterogeneous controlled local climate conditions, which affect strategies sizing their system able to support plant growth prevent shortages. Root parameterization most land surface models does not account this control on development,...

The root zone storage capacity (Sr) is the maximum volume of water in subsurface that can potentially be accessed by vegetation for transpiration. Sr an essential characteristic hydrological systems as it controls partitioning precipitation into evaporation and runoff. Understanding influence climatic landscape characteristics on predicting how different ecosystems will respond to disturbances such human activities climate change. While magnitude ecosystem scale partly influenced slopes,...

Vegetation is a highly dynamic component of the Earth System. plays significant role in influencing general circulation atmosphere through various processes. It controls land surface roughness, albedo, evapotranspiration and sensible heat exchanges among other effects. Understanding interactions between vegetation crucial for predicting climate weather patterns. This study explores how better representation dynamics affects predictions at decadal timescale characteristics linked to affect...

Vegetation plays a crucial role in regulating the water cycle through transpiration, which is flux from subsurface to atmosphere via vegetation roots. The amount and timing of transpiration controlled by interplay seasonal energy supply. latter strongly depends on size root zone storage capacity (Sr) represents maximum accessible volume that can use for transpiration. Sr primarily influenced hydro-climatic conditions as optimizes its system way it guarantee uptake overcome dry periods....

Abstract Vegetation roots play an essential role in regulating the hydrological cycle by removing water from subsurface and releasing it to atmosphere. However, present understanding of drivers ecosystem-scale root development their spatial variability globally is limited. This study investigates varying roles climate, landscape, vegetation on magnitude zone storage capacity ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mi>S</mml:mi>...

&amp;lt;p&amp;gt;The root zone storage capacity (S&amp;lt;sub&amp;gt;r&amp;lt;/sub&amp;gt; ) is the maximum volume of water in subsurface that can potentially be accessed by vegetation for transpiration. It influences seasonality transpiration as well fast and slow runoff processes. Many studies have shown S&amp;lt;sub&amp;gt;r&amp;lt;/sub&amp;gt; heterogeneous controlled local climate conditions, which affect strategies sizing their system able to support plant growth prevent shortages....

Vegetation is a relevant and highly dynamic component of the Earth System controlling, amongst others, surface roughness, albedo evapotranspiration; its variability shows changes in seasons, interannual, decadal longer timescales. In this study, we investigate effects improved representation vegetation dynamics on climate predictions at different timescales: seasonal decadal. To aim, latest generation satellite datasets characteristics have been exploited, novel parameterization effective...

Vegetation is a relevant and highly dynamic component of the Earth System controlling, amongst others, surface roughness, albedo evapotranspiration; its variability shows changes in seasons, interannual, decadal longer timescales. In this study, we investigate effects improved representation vegetation dynamics on climate predictions at different timescales: seasonal decadal. To aim, latest generation satellite datasets characteristics have been exploited, novel parameterization effective...

Land-atmosphere interactions are largely controlled by vegetation, which is dynamic across spatial and temporal scales. Most state-of-the-art land surface models do not adequately represent the variability of results in weaknesses associated modelled water energy states fluxes. The objective this work to evaluate effects integrating spatially temporally varying vegetation characteristics derived from satellite observations on evaporation soil moisture model HTESSEL. Specifically, fixed cover...

Abstract. Vegetation largely controls land surface-atmosphere interactions. Although vegetation is highly dynamic across spatial and temporal scales, most surface models currently used for reanalyses near-term climate predictions do not adequately represent these dynamics. This causes deficiencies in the variability of modeled water energy states fluxes from surface. In this study we evaluated effects integrating spatially temporally varying cover characteristics derived 5 satellite...

Abstract. Vegetation plays a crucial role in regulating the water cycle through transpiration, which is flux from subsurface to atmosphere via vegetation roots. The amount and timing of transpiration controlled by interplay seasonal energy supply. latter strongly depends on size root zone storage capacity (Sr) represents maximum accessible volume that can use for transpiration. Sr primarily influenced hydro-climatic conditions as optimizes its system way it guarantee uptake overcome dry...