Soil moisture‐temperature coupling: A multiscale observational analysis

Miralles, Diego G.; Berg, Matthijs van den; Teuling, Adriaan J.; Jeu, R. A. M. de

doi:10.1029/2012gl053703

Cited by 273 publications

(338 citation statements)

References 40 publications

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“…Hence, the strongest SM-LST relationship is observed in transitional seasons (i.e., autumn and spring) because the SM is sufficiently dynamic to affect air temperature, and also LST. This result agrees with those obtained in [60], where the SM-air temperature coupling was shown to be higher in transitional zones between wet and dry climates. However, a low correlation is obtained in winter (December-January-February, DJF) with R ≈ + 0.30.…”

Section: Sm-lst Relationship At the Seasonal Scalesupporting

confidence: 83%

Multi-Temporal Evaluation of Soil Moisture and Land Surface Temperature Dynamics Using in Situ and Satellite Observations

et al. 2016

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Soil moisture (SM) is an important component of the Earth's surface water balance and by extension the energy balance, regulating the land surface temperature (LST) and evapotranspiration (ET). Nowadays, there are two missions dedicated to monitoring the Earth's surface SM using L-band radiometers: ESA's Soil Moisture and Ocean Salinity (SMOS) and NASA's Soil Moisture Active Passive (SMAP). LST is remotely sensed using thermal infrared (TIR) sensors on-board satellites, such as NASA's Terra/Aqua MODIS or ESA & EUMETSAT's MSG SEVIRI. This study provides an assessment of SM and LST dynamics at daily and seasonal scales, using 4 years (2011-2014) of in situ and satellite observations over the central part of the river Duero basin in Spain. Specifically, the agreement of instantaneous SM with a variety of LST-derived parameters is analyzed to better understand the fundamental link of the SM-LST relationship through ET and thermal inertia. Ground-based SM and LST measurements from the REMEDHUS network are compared to SMOS SM and MODIS LST spaceborne observations. ET is obtained from the HidroMORE regional hydrological model. At the daily scale, a strong anticorrelation is observed between in situ SM and maximum LST (R ≈ −0.6 to −0.8), and between SMOS SM and MODIS LST Terra/Aqua day (R ≈ − 0.7). At the seasonal scale, results show a stronger anticorrelation in autumn, spring and summer (in situ R ≈ −0.5 to −0.7; satellite R ≈ −0.4 to −0.7) indicating SM-LST coupling, than in winter (in situ R ≈ +0.3; satellite R ≈ −0.3) indicating SM-LST decoupling. These different behaviors evidence changes from water-limited to energy-limited moisture flux across seasons, which are confirmed by the observed ET evolution. In water-limited periods, SM is extracted from the soil through ET until critical SM is reached. A method to estimate the soil critical SM is proposed. For REMEDHUS, the critical SM is estimated to be ∼0.12 m 3 /m 3 , stable over the study period and consistent between in situ and satellite observations. A better understanding of the SM-LST link could not only help improving the representation of LST in current hydrological and climate prediction models, but also refining SM retrieval or microwave-optical disaggregation algorithms, related to ET and vegetation status.

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Section: Sm-lst Relationship At the Seasonal Scalesupporting

confidence: 83%

Multi-Temporal Evaluation of Soil Moisture and Land Surface Temperature Dynamics Using in Situ and Satellite Observations

et al. 2016

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“…It ranges up to about 0.5 K in some soil moisture hot spots (cf. Miralles et al, 2012; Schwingshackl et al, 2017), but it is negligible in deserts where water is scarce and in middle‐to‐high latitudes during winter when the soil is frozen. The impact of albedo variations is as well mostly negative.…”

Section: Resultsmentioning

confidence: 99%

“…Soil moisture influences the partitioning of net radiation into sensible and latent heat fluxes and thus impacts near‐surface air temperature in various regions of the world (e.g., Miralles et al, 2012; Schwingshackl et al, 2017; Seneviratne et al, 2010) especially during summer (Fischer et al, 2012; Lenderink et al, 2007; Seneviratne et al, 2006). …”

Section: Introductionmentioning

confidence: 99%

Global Contributions of Incoming Radiation and Land Surface Conditions to Maximum Near‐Surface Air Temperature Variability and Trend

Schwingshackl

Hirschi

Seneviratne

2018

Geophysical Research Letters

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The evolution of near‐surface air temperature is influenced by various dynamical, radiative, and surface‐atmosphere exchange processes whose contributions are still not completely quantified. Applying stepwise multiple linear regression to Coupled Model Intercomparison Project phase 5 (CMIP5) model simulations and focusing on radiation (diagnosed by incoming shortwave and incoming longwave radiation) and land surface conditions (diagnosed by soil moisture and albedo) about 79% of the interannual variability and 99% of the multidecadal trend of monthly mean daily maximum temperature over land can be explained. The linear model captures well the temperature variability in middle‐to‐high latitudes and in regions close to the equator, whereas its explanatory potential is limited in deserts. While radiation is an essential explanatory variable over almost all of the analyzed domain, land surface conditions show a pronounced relation to temperature in some confined regions. These findings highlight that considering local‐to‐regional processes is crucial for correctly assessing interannual temperature variability and future temperature trends.

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“…Since local land surface conditions can strongly impact temperatures during heatwaves (Fischer et al, 2007;Miralles et al, 2012), any changes in land surface conditions, for instance through land-use change, have the potential to impact temperature extremes. Probably the most striking example of land-use change in the world is deforestation; in many parts of the world, forests have been converted into grassland over the last centuries (e.g., Christidis et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Disentangling the response of forest and grassland energy exchange to heatwaves under idealized land–atmosphere coupling

Heerwaarden

Teuling

2014

Biogeosciences

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Abstract. This study investigates the difference in land-atmosphere interactions between grassland and forest during typical heatwave conditions in order to understand the controversial results of Teuling et al. (2010) (hereafter T10), who found the systematic occurrence of higher sensible heat fluxes over forest than over grassland during heatwaves. With a simple but accurate coupled land-atmosphere model, we show that existing parametrizations are able to reproduce the findings of T10 for normal summer and heatwave conditions. Furthermore, we demonstrate the sensitivity of the coupled system to changes in incoming radiation and early-morning temperature typical for European heatwaves.Our results suggest that the fast atmospheric control of stomatal resistance can explain the observed differences between grassland and forest. The atmospheric boundary layer has a buffering function therein: increases in stomatal resistance are largely compensated for by increases in the potential evaporation due to atmospheric warming and drying.In order to disentangle the contributions of differences in several static and dynamic properties between forest and grassland, we have performed a virtual experiment with artificial land-use types that are equal to grassland, but with one of its properties replaced by that of forest. From these, we confirm the important role of the fast physiological processes that lead to the closure of stomata. Nonetheless, for a full explanation of T10's results, the other properties (albedo, roughness and the ratio of minimum stomatal resistance to leaf-area index) play an important but indirect role; their influences mainly consist of strengthening the feedback that leads to the closure of the stomata by providing more energy that can be converted into sensible heat. The model experiment also confirms that, in line with the larger sensible heat flux, higher atmospheric temperatures occur over forest.As our parametrization for stomatal resistance is empirical rather than mechanical, our study stresses the demand for a better mechanistic understanding of physiological processes in plants.

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Soil moisture‐temperature coupling: A multiscale observational analysis

Cited by 273 publications

References 40 publications

Multi-Temporal Evaluation of Soil Moisture and Land Surface Temperature Dynamics Using in Situ and Satellite Observations

Multi-Temporal Evaluation of Soil Moisture and Land Surface Temperature Dynamics Using in Situ and Satellite Observations

Global Contributions of Incoming Radiation and Land Surface Conditions to Maximum Near‐Surface Air Temperature Variability and Trend

Disentangling the response of forest and grassland energy exchange to heatwaves under idealized land–atmosphere coupling

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