63 research outputs found
The diurnal evolution of the urban heat island of Paris: a model-based case study during Summer 2006
The urban heat island (UHI) over Paris during summer 2006 was simulated using the Advanced Regional Prediction System (ARPS) updated with a simple urban parametrization at a horizontal resolution of 1 km. Two integrations were performed, one with the urban land cover of Paris and another in which Paris was replaced by cropland. The focus is on a five-day clear-sky period, for which the UHI intensity reaches its maximum. The diurnal evolution of the UHI intensity was found to be adequately simulated for this five day period. The maximum difference at night in 2 m temperature between urban and rural areas stemming from the urban heating is reproduced with a relative error of less than 10%. The UHI has an ellipsoidal shape and stretches along the prevailing wind direction. The maximum UHI intensity of 6.1 K occurs at 23:00 UTC located 6 km downstream of the city centre and this largely remains during the whole night. An idealized one-column model study demonstrates that the nocturnal differential sensible heat flux, even though much smaller than its daytime value, is mainly responsible for the maximum UHI intensity. The reason for this nighttime maximum is that additional heat is only affecting a shallow layer of 150 m. An air uplift is explained by the synoptic east wind and a ramp upwind of the city centre, which leads to a considerable nocturnal adiabatic cooling over cropland. The idealized study demonstrates that the reduced vertical adiabatic cooling over the city compared to cropland induces an additional UHI build-up of 25%. The UHI and its vertical extent is affected by the boundary-layer stability, nocturnal low-level jet as well as radiative cooling. Therefore, improvements of representing these boundary-layer features in atmospheric models are important for UHI studies
An improved algorithm for polar cloud-base detection by ceilometer over the ice sheets
Optically thin ice and mixed-phase clouds play an important role in polar
regions due to their effect on cloud radiative impact and precipitation.
Cloud-base heights can be detected by ceilometers, low-power backscatter
lidars that run continuously and therefore have the potential to provide
basic cloud statistics including cloud frequency, base height and vertical
structure. The standard cloud-base detection algorithms of ceilometers are
designed to detect optically thick liquid-containing clouds, while the
detection of thin ice clouds requires an alternative approach. This paper
presents the polar threshold (PT) algorithm that was developed to be
sensitive to optically thin hydrometeor layers (minimum optical depth
Ï„ ≥ 0.01). The PT algorithm detects the first hydrometeor layer
in a vertical attenuated backscatter profile exceeding a predefined threshold
in combination with noise reduction and averaging procedures. The optimal
backscatter threshold of 3 × 10<sup>−4</sup> km<sup>−1</sup> sr<sup>−1</sup> for
cloud-base detection near the surface was derived based on a sensitivity
analysis using data from Princess Elisabeth, Antarctica and Summit,
Greenland. At higher altitudes where the average noise level is higher than
the backscatter threshold, the PT algorithm becomes signal-to-noise ratio
driven. The algorithm defines cloudy conditions as any atmospheric profile
containing a hydrometeor layer at least 90 m thick. A comparison with
relative humidity measurements from radiosondes at Summit illustrates the
algorithm's ability to significantly discriminate between clear-sky and
cloudy conditions. Analysis of the cloud statistics derived from the PT
algorithm indicates a year-round monthly mean cloud cover fraction of 72%
(±10%) at Summit without a seasonal cycle. The occurrence of
optically thick layers, indicating the presence of supercooled liquid water
droplets, shows a seasonal cycle at Summit with a monthly mean summer peak of
40 % (±4%). The monthly mean cloud occurrence frequency in summer
at Princess Elisabeth is 46% (±5%), which reduces to 12%
(±2.5%) for supercooled liquid cloud layers. Our analyses
furthermore illustrate the importance of optically thin hydrometeor layers
located near the surface for both sites, with 87% of all detections below
500 m for Summit and 80% below 2 km for Princess Elisabeth. These
results have implications for using satellite-based remotely sensed cloud
observations, like CloudSat that may be insensitive for hydrometeors near
the surface. The decrease of sensitivity with height, which is an inherent
limitation of the ceilometer, does not have a significant impact on our
results. This study highlights the potential of the PT algorithm to extract
information in polar regions from various hydrometeor layers using
measurements by the robust and relatively low-cost ceilometer instrument
Corrigendum to ’Development of a mechanistic biokinetic model for hepatic bile acid handling to predict possible cholestatic effects of drugs’ [European Journal of Pharmaceutical Sciences 115 (2018) 175-184] (S0928098718300071) (10.1016/j.ejps.2018.01.007))
The authors regret the molar unit is incorrectly displayed on the x-axis in Fig. 4A and 4C and on the y-axis in Fig. 4B, 4D and Fig. 5. The correct versions of the figures are displayed below together with the unchanged legends. The authors would like to apologise for any inconvenience caused. DOI of original article: 10.1016/j.ejps.2018.01.00
Representation of precipitation and top-of-atmosphere radiation in a multi-model convection-permitting ensemble for the Lake Victoria Basin (East-Africa)
The CORDEX Flagship Pilot Study ELVIC (climate Extremes in the Lake VICtoria basin) was recently established to investigate how extreme weather events will evolve in this region of the world and to provide improved information for the climate impact community. Here we assess the added value of the convection-permitting scale simulations on the representation of moist convective systems over and around Lake Victoria. With this aim, 10 year present-day model simulations were carried out with five regional climate models at both PARameterized (PAR) scales (12–25 km) and Convection-Permitting (CP) scales (2.5–4.5 km), with COSMO-CLM, RegCM, AROME, WRF and UKMO. Most substantial systematic improvements were found in metrics related to deep convection. For example, the timing of the daily maximum in precipitation is systematically delayed in CP compared to PAR models, thereby improving the agreement with observations. The large overestimation in the total number of rainy events is alleviated in the CP models. Systematic improvements were found in the diurnal cycle in Top-Of-Atmosphere (TOA) radiation and in some metrics for precipitation intensity. No unanimous improvement nor deterioration was found in the representation of the spatial distribution of total rainfall and the seasonal cycle when going to the CP scale. Furthermore, some substantial biases in TOA upward radiative fluxes remain. Generally our analysis indicates that the representation of the convective systems is strongly improved in CP compared to PAR models, giving confidence that the models are valuable tools for studying how extreme precipitation events may evolve in the future in the Lake Victoria basin and its surroundings
Global hunger and climate change adaptation through international trade
International trade enables us to exploit regional differences in climate change impacts and is increasingly regarded as a potential adaptation mechanism. Here, we focus on hunger reduction through international trade under alternative trade scenarios for a wide range of climate futures. Under the current level of trade integration, climate change would lead to up to 55 million people who are undernourished in 2050. Without adaptation through trade, the impacts of global climate change would increase to 73 million people who are undernourished (+33%). Reduction in tariffs as well as institutional and infrastructural barriers would decrease the negative impact to 20 million (−64%) people. We assess the adaptation effect of trade and climate-induced specialization patterns. The adaptation effect is strongest for hunger-affected import-dependent regions. However, in hunger-affected export-oriented regions, partial trade integration can lead to increased exports at the expense of domestic food availability. Although trade integration is a key component of adaptation, it needs sensitive implementation to benefit all regions
Folate catabolites in spot urine as non-invasive biomarkers of folate status during habitual intake and folic acid supplementation.
Folate status, as reflected by red blood cell (RCF) and plasma folates (PF), is related to health and disease risk. Folate degradation products para-aminobenzoylglutamate (pABG) and para-acetamidobenzoylglutamate (apABG) in 24 hour urine have recently been shown to correlate with blood folate.
Since blood sampling and collection of 24 hour urine are cumbersome, we investigated whether the determination of urinary folate catabolites in fasted spot urine is a suitable non-invasive biomarker for folate status in subjects before and during folic acid supplementation.
Immediate effects of oral folic acid bolus intake on urinary folate catabolites were assessed in a short-term pre-study. In the main study we included 53 healthy men. Of these, 29 were selected for a 12 week folic acid supplementation (400 µg). Blood, 24 hour and spot urine were collected at baseline and after 6 and 12 weeks and PF, RCF, urinary apABG and pABG were determined.
Intake of a 400 µg folic acid bolus resulted in immediate increase of urinary catabolites. In the main study pABG and apABG concentrations in spot urine correlated well with their excretion in 24 hour urine. In healthy men consuming habitual diet, pABG showed closer correlation with PF (rs = 0.676) and RCF (rs = 0.649) than apABG (rs = 0.264, ns and 0.543). Supplementation led to significantly increased folate in plasma and red cells as well as elevated urinary folate catabolites, while only pABG correlated significantly with PF (rs = 0.574) after 12 weeks.
Quantification of folate catabolites in fasted spot urine seems suitable as a non-invasive alternative to blood or 24 hour urine analysis for evaluation of folate status in populations consuming habitual diet. In non-steady-state conditions (folic acid supplementation) correlations between folate marker (RCF, PF, urinary catabolites) decrease due to differing kinetics
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Global heat uptake by inland waters
Heat uptake is a key variable for understanding the Earth system response to greenhouse gas forcing. Despite the importance of this heat budget, heat uptake by inland waters has so far not been quantified. Here we use a unique combination of global-scale lake models, global hydrological models and Earth system models to quantify global heat uptake by natural lakes, reservoirs, and rivers. The total net heat uptake by inland waters amounts to 2.6 ± 3.2 ×1020 J over the period 1900–2020, corresponding to 3.6% of the energy stored on land. The overall uptake is dominated by natural lakes (111.7%), followed by reservoir warming (2.3%). Rivers contribute negatively (-14%) due to a decreasing water volume. The thermal energy of water stored in artificial reservoirs exceeds inland water heat uptake by a factor ∼10.4. This first quantification underlines that the heat uptake by inland waters is relatively small, but non-negligible
Proteomics of human liver membrane transporters: a focus on fetuses and newborn infants
Background: Hepatic membrane transporters are involved in the transport of many endogenous and exogenous compounds, including drugs. We aimed to study the relation of age with absolute transporter protein expression in a cohort of 62 mainly fetus and newborn samples. Methods: Protein expressions of BCRP, BSEP, GLUT1, MCT1, MDR1, MRP1, MRP2, MRP3, NTCP, OCT1, OATP1B1, OATP1B3, OATP2B1 and ATP1A1 were quantified with LC-MS/MS in isolated crude membrane fractions of snap-frozen post-mortem fetal and pediatric, and surgical adult liver samples. mRNA expression was quantified using RNA sequencing, and genetic variants with TaqMan assays. We explored relationships between protein expression and age (gestational age [GA], postnatal age [PNA], and postmenstrual age); between protein and mRNA expression; and between protein expression and genotype. Results: We analyzed 36 fetal (median GA 23.4 weeks [range 15.3–41.3]), 12 premature newborn (GA 30.2 weeks [24.9–36.7], PNA 1.0 weeks [0.14–11.4]), 10 term newborn (GA 40.0 weeks [39.7–41.3], PNA 3.9 weeks [0.3–18.1]), 4 pediatric (PNA 4.1 years [1.1–7.4]) and 8 adult liver samples. A relationship with age was found for BCRP, BSEP, GLUT1, MDR1, MRP1, MRP2, MRP3, NTCP, OATP1B1 and OCT1, with the strongest relationship for postmenstrual age. For most transporters mRNA and protein expression were not correlated. No genotype-protein expression relationship was detected. Discussion and conclusion: Various developmental patterns of protein expression of hepatic transporters emerged in fetuses and newborns up to four months of age. Postmenstrual age was the most robust factor predicting transporter expression in this cohort. Our data fill an important gap in current pediatric transporter ontogeny knowledge
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