Diagnosing Land–Atmosphere Interaction from a Regional Climate Model Simulation over West Africa

Hurk, Bart van den; Meijgaard, E. van

doi:10.1175/2009jhm1173.1

Cited by 47 publications

(30 citation statements)

References 36 publications

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“…Our results disagree somewhat with those of Van den Hurk and van Meijgaard (2010), who showed a strong sensitivity of the regional recycling ratio to soil moisture anomaly in, for example, JJA; in effect, they show a significant impact of soil moisture on precipitation later in the monsoon season, whereas we show almost none during this period. A study of their Sahelian soil moistures (their Fig.…”

Section: Summary and Discussioncontrasting

confidence: 99%

“…4(a). This result supports those of Dirmeyer et al (2009) and Van den Hurk and van Meijgaard (2010), who found a high correlation between soil moisture and evaporation in MAM over the Western Fig. 4(b) are probably too small to have a significant impact on Ω P (R) -Ω P (W ) for two reasons: (a) σ E is itself small, implying a weak evaporation signal, and (b) the evaporation signal that does exist is not strongly similar amongst the members of the R ensemble.…”

Section: Role Of the Evaporation Signalsupporting

confidence: 91%

“…In the absence of measurements, of course, the truth is unknown. The comparison with Van den Hurk and van Meijgaard (2010) points out clearly the importance of considering model dependence in this type of study. Our study, while complete and self-consistent, is nevertheless subject, as all such studies are, to the impacts of model bias.…”

Section: Summary and Discussionmentioning

confidence: 92%

See 2 more Smart Citations

Seasonal variation of land–atmosphere coupling strength over the West African monsoon region in an atmospheric general circulation model

Yamada

Kanae

Oki

et al. 2013

Hydrological Sciences Journal

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The seasonal variation of land-atmosphere coupling strength has been examined using an extended series of atmospheric general circulation model (AGCM) simulations. In the Western Sahel of Africa, strong coupling strength for precipitation is found in April and May, just prior to and at the beginning of the monsoon season. At this time, heat and water fluxes from the surface are strongly controlled by land conditions, and the unstable conditions in the lower level of the troposphere, as induced by local land state, allow the surface fluxes to influence the variability of convective precipitation-and thus the timing of monsoon onset.

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Section: Summary and Discussioncontrasting

confidence: 99%

Section: Role Of the Evaporation Signalsupporting

confidence: 91%

Section: Summary and Discussionmentioning

confidence: 92%

See 1 more Smart Citation

Seasonal variation of land–atmosphere coupling strength over the West African monsoon region in an atmospheric general circulation model

Yamada

Kanae

Oki

et al. 2013

Hydrological Sciences Journal

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“…Perhaps the most important result of the use of regional models to study land surface processes is the uniform consensus that interactive land surface schemes improve the performance of climate models [216,[265][266][267]. They improve the simulation of hydrological processes, circulation features, and enhance predictive capacity.…”

Section: Land Surface Processes In Regional Modelsmentioning

confidence: 99%

The West African Sahel: A Review of Recent Studies on the Rainfall Regime and Its Interannual Variability

2013

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The West African Sahel is well known for the severe droughts that ravaged the region in the 1970s and 1980s. Meteorological research on the region has flourished during the last decade as a result of several major field experiments. This paper provides an overview of the results that have ensued. A major focus has been on the West African monsoon, a phenomenon that links all of West Africa. The characteristics and revised picture of the West African monsoon are emphasized. Other topics include the interannual variability of rainfall, the atmospheric circulation systems that govern interannual variability, characteristics of precipitation and convection, wave activity, large-scale factors in variability (including sea-surface temperatures), and land-atmosphere relationships. New paradigms for the monsoon and associated ITCZ and for interannual variability have emerged. These emphasize features in the upper atmosphere, as well as the Saharan Heat Low. Feedback mechanisms have also been emphasized, especially the coupling of convection with atmospheric dynamics and with land surface characteristics. New results also include the contrast between the premonsoon and peak monsoon seasons, two preferred modes of interannual variability (a latitudinal displacement of the tropical rainbelt versus changes in its intensity), and the critical importance of the Tropical Easterly Jet.

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“…On land, soil moisture is one of the few variables depicting the storage of water and heat that can be released several months later, as vegetation cover and snow do [5][6][7]. Even though the total energy represented by soil moisture is not comparable to that of the sea surface temperature, it could still constitute the turning point in studies on land-atmosphere interaction, seasonal climate forecasting and numerical simulations [8][9][10]. Soil moisture is also an indicator for drought and flood events, which are key factors in agriculture, hydrology, and ecology, among others.…”

Section: Motivationmentioning

confidence: 99%

Determination of the Optimal Mounting Depth for Calculating Effective Soil Temperature at L-Band: Maqu Case

Zeng

Wen

et al. 2016

Remote Sensing

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Effective soil temperature T e f f is one of the basic parameters in passive microwave remote sensing of soil moisture. At present, dedicated satellite soil moisture monitoring missions use the L-band as the operating frequency. However, T e f f at the L-band is strongly affected by soil moisture and temperature profiles. Recently, a two-layer scheme and a corresponding multilayer form have been developed to accommodate such influences. In this study, the soil moisture/temperature data collected and simulated by the Noah land surface model across the Maqu Network are used to verify the newly developed schemes. There are two key findings. Firstly, the new two-layer scheme is able to assess which site provides relatively higher accuracy when estimating T e f f . It is found that, on average, nearly 20% of the T e f f signal cannot be captured by the Maqu Network, in the currently assumed common installation configuration. This knowledge is important, since the spatial averaged brightness temperature (a function of T e f f ) is used to determine soil moisture. Secondly, the developed method has made it possible to identify that the optimal mounting depths for the observation pair are 5 cm and 20 cm for calculating T e f f at the center station in the Maqu Network. It has been suggested that the newly developed method can provide an objective way to configure an optimal soil moisture/temperature network and improve the representativeness of the existing networks regarding the calculation of T e f f .

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Diagnosing Land–Atmosphere Interaction from a Regional Climate Model Simulation over West Africa

Cited by 47 publications

References 36 publications

Seasonal variation of land–atmosphere coupling strength over the West African monsoon region in an atmospheric general circulation model

Seasonal variation of land–atmosphere coupling strength over the West African monsoon region in an atmospheric general circulation model

The West African Sahel: A Review of Recent Studies on the Rainfall Regime and Its Interannual Variability

Determination of the Optimal Mounting Depth for Calculating Effective Soil Temperature at L-Band: Maqu Case

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