Articles | Volume 23, issue 1
https://doi.org/10.5194/hess-23-515-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-515-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jan 2019
Research article |
| 28 Jan 2019
| 28 Jan 2019
Using phase lags to evaluate model biases in simulating the diurnal cycle of evapotranspiration: a case study in Luxembourg
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Claire Brenner
Institut für Wasserwirtschaft, Hydrologie und konstruktiven Wasserbau, Universität für Bodenkultur (BOKU), 1190 Vienna, Austria
Kaniska Mallick
Department of Environmental Research and Innovation, Luxembourg Institute of Science and Technology (LIST), 4422 Belvaux, Grand Duchy of Luxembourg
Hans-Dieter Wizemann
Institut für Physik und Meteorologie, Universität Hohenheim, 70599 Stuttgart, Germany
Luigi Conte
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Ivonne Trebs
Department of Environmental Research and Innovation, Luxembourg Institute of Science and Technology (LIST), 4422 Belvaux, Grand Duchy of Luxembourg
Jianhui Wei
Institut für Physik und Meteorologie, Universität Hohenheim, 70599 Stuttgart, Germany
Volker Wulfmeyer
Institut für Physik und Meteorologie, Universität Hohenheim, 70599 Stuttgart, Germany
Karsten Schulz
Institut für Wasserwirtschaft, Hydrologie und konstruktiven Wasserbau, Universität für Bodenkultur (BOKU), 1190 Vienna, Austria
Axel Kleidon
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
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- ICLASS 1.1, a variational Inverse modelling framework for the Chemistry Land-surface Atmosphere Soil Slab model: description, validation, and application P. Bosman & M. Krol 10.5194/gmd-16-47-2023
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- An assessment of phase relationships between heat fluxes and ground surface temperatures in a diurnal cycle based on monitoring studies at the Verkhnee Dubrovo meteorological station D. Demezhko et al. 10.24930/1681-9004-2022-22-2-239-250
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22 citations as recorded by crossref.
- Lysimetric Analysis for Transpiration and Carbon Accumulation of Cnidium officinale Makino in Hot Weather Conditions Y. Seo et al. 10.7783/KJMCS.2020.28.6.463
- Impact of canopy environmental variables on the diurnal dynamics of water and carbon dioxide exchange at leaf and canopy level R. González-Armas et al. 10.5194/bg-21-2425-2024
- Resolve the Clear‐Sky Continuous Diurnal Cycle of High‐Resolution ECOSTRESS Evapotranspiration and Land Surface Temperature J. Wen et al. 10.1029/2022WR032227
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al. 10.1029/2023WR035481
- Evaporation from a large lowland reservoir – (dis)agreement between evaporation models from hourly to decadal timescales F. Jansen & A. Teuling 10.5194/hess-24-1055-2020
- Temperature Response to External Radiative Forcing: Verification of a Simple Model A. Gornostaeva et al. 10.1134/S0001433821110037
- Deep Learned Process Parameterizations Provide Better Representations of Turbulent Heat Fluxes in Hydrologic Models A. Bennett & B. Nijssen 10.1029/2020WR029328
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. 10.5194/hess-25-5277-2021
- What determines the time lags of sap flux with solar radiation and vapor pressure deficit? L. Wan et al. 10.1016/j.agrformet.2023.109414
- ICLASS 1.1, a variational Inverse modelling framework for the Chemistry Land-surface Atmosphere Soil Slab model: description, validation, and application P. Bosman & M. Krol 10.5194/gmd-16-47-2023
- Temporal patterns of carbon-water coupling of a subalpine peatland in subtropics: Insights from a seven-year eddy covariance monitoring Z. Liu et al. 10.1016/j.ejrh.2024.101903
- An assessment of phase relationships between heat fluxes and ground surface temperatures in a diurnal cycle based on monitoring studies at the Verkhnee Dubrovo meteorological station D. Demezhko et al. 10.24930/1681-9004-2022-22-2-239-250
- Ozone deposition impact assessments for forest canopies require accurate ozone flux partitioning on diurnal timescales A. Visser et al. 10.5194/acp-21-18393-2021
- Comparison of Empirical Methods to Estimated Reference Evapotranspiration L. Gandri et al. 10.29303/jrpb.v12i2.629
- Do Surface and Air Temperatures Contain Similar Imprints of Evaporative Conditions? A. Panwar et al. 10.1029/2019GL082248
- Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review M. Gerhards et al. 10.3390/rs11101240
- Energy Imbalance and Evapotranspiration Hysteresis Under an Advective Environment: Evidence From Lysimeter, Eddy Covariance, and Energy Balance Modeling R. Dhungel et al. 10.1029/2020GL091203
- Toward Utilizing Similarity in Hydrologic Data Assimilation H. Lee et al. 10.3390/hydrology11110177
- Hysteresis Behavior of Surface Water Fluxes in a Hydrologic Transition of an Ephemeral Lake Y. Cui et al. 10.1029/2019JD032364
- Estimates of tree root water uptake from soil moisture profile dynamics C. Jackisch et al. 10.5194/bg-17-5787-2020
- Summarizing the state of the terrestrial biosphere in few dimensions G. Kraemer et al. 10.5194/bg-17-2397-2020
- Energy balance closure and evapotranspiration hysteresis in central Amazon under contrasting conditions during the GoAmazon project in 2014 and 2015 R. Carneiro et al. 10.1016/j.jsames.2023.104686
Latest update: 20 Nov 2024
Short summary
We estimate the phase lag of surface states and heat fluxes to incoming solar radiation at the sub-daily timescale. While evapotranspiration reveals a minor phase lag, the vapor pressure deficit used as input by Penman–Monteith approaches shows a large phase lag. The surface-to-air temperature gradient used by energy balance residual approaches shows a small phase shift in agreement with the sensible heat flux and thus explains the better correlation of these models at the sub-daily timescale.
We estimate the phase lag of surface states and heat fluxes to incoming solar radiation at the...
