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David Tenenbaum

Senior lecturer Contact details Email: david [dot] tenenbaum [at] mgeo [dot] lu [dot] se Phone: +46 46 222 48 82Organisation Department of Earth and Environmental Sciences (MGeo) Room number: 357 Service point: 16 WebpageDavid Tenenbaums profile in Lund University research portalOther affiliations Senior lecturer Dept of Physical Geography and Ecosystem Science Senior lecturer Centre for Geographi

https://www.nateko.lu.se/david-tenenbaum - 2026-06-11

Antagning Komposition, arrangering och musikteori

Ansök till programmet på antagning.seAnsökningsperiod: 1 december 2025 – 15 januari 2026. Styrk din behörighet. Sista kompletteringsdag för att styrka din behörighet är 26 januari 2026. Delprov 1. Ladda upp dina arbetsprover senast 21 januari 2026. En jury bedömer arbetsproverna och godkända sökande går vidare till delprov 2. Kallelsen till delprov 2 skickas till den mejladress du angav vid ansöka

https://www.mhm.lu.se/antagning-komposition-arrangering-och-musikteori - 2026-06-11

Exchange studies

The Music Teacher Training programme at Malmö Academy of Music is designed to develop both your pedagogical and artistic skills. Our ambition is that you will have as many classes as possible together with our Swedish students.You choose among the courses below, but remember to discuss your decision with a coordinator at your home university since it is important that you can transfer your ETCS at

https://www.mhm.lu.se/en/music-teacher-training-programme - 2026-06-11

Antagning till kandidatprogram, Piano

KONSTNÄRLIGT KANDIDATPROGRAM I MUSIK Hållpunkter för din ansökan Anmäl dig till programmet på antagning.seAnmälningsperiod: 1 december 2025 – 15 januari 2026. Delprov 1. Ladda upp dina arbetsprover senast 21 januari 2026. En jurygrupp bedömer arbetsproverna och godkända sökande går vidare till delprov 2. Kallelsen till delprov 2 skickas till den mejladress du angav vid ansökan. Styrk din behörighe

https://www.mhm.lu.se/utbildning/antagning/antagning-musikerutbildningar/antagning-till-konstnarligt-kandidatprogram-i-musik/antagning-till-kandidatprogram-piano - 2026-06-11

Antagning till kandidatprogram, Gitarr

KONSTNÄRLIGT KANDIDATPROGRAM I MUSIK | KLASSISK GITARR Hållpunkter för din ansökan Anmäl dig till programmet på antagning.seAnmälningsperiod: 1 december 2025 – 15 januari 2026. Delprov 1. Ladda upp dina arbetsprover senast 21 januari 2026. En jurygrupp bedömer arbetsproverna och godkända sökande går vidare till delprov 2. Kallelsen till delprov 2 skickas till den mejladress du angav vid ansökan. S

https://www.mhm.lu.se/utbildning/antagning/antagning-musikerutbildningar/antagning-till-konstnarligt-kandidatprogram-i-musik/antagning-till-kandidatprogram-gitarr - 2026-06-11

On the Distance to Infeasibility in DC Power Grids with Constant-Power Loads

This paper is concerned with the feasibility of the power flow in DC power grids with constant power loads. We introduce the notion of distance to infeasibility as a voltage stability index and robustness measure for power flow feasibility. In particular, we study the p-norm distance to infeasibility in the domain of the constant power loads, and show how this distance may be expressed as a mathem

The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF)

A hyperspectral field sensor (FloX) was installed in Adventdalen (Svalbard, Norway) in 2019 as part of the Svalbard Integrated Arctic Earth Observing System (SIOS) for monitoring vegetation phenology and Sun-Induced Chlorophyll Fluorescence (SIF) of high-Arctic tundra. This northernmost hyperspectral sensor is located within the footprint of a tower for long-term eddy covariance flux measurements

MPC Feed-Forward for Constraint Handling

In a mineral concentrator, ore is milled and later separated into concentrate and tailing by a process called flotation. When a milling line abruptly stops, a significant inflow disturbance to the downstream flotation series is often observed. To avoid de-tuning the flotation level controller to handle the worst case scenario, we introduce a feed-forward model predictive controller (MPC) that cons

Spatial-temporal differentiation and influencing factors of carbon emission trajectory in Chinese cities - A case study of 247 prefecture-level cities

Cities, where human energy activities and greenhouse gas emissions are concentrated, contribute significantly to alleviating the impacts of global climate change. Utilizing the China Carbon Emissions Accounting Database (CEADs) to provide carbon dioxide emission inventories for urban areas in China at the prefecture level, this study closely examines the historical evolution trajectories of carbon

A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water volume changes

This study compared two different methods, the satellite altimetry-based and DEM (digital elevation model)-based, for estimating lake water volume changes. We focused on 34 lakes in China as the testing sites to compare the two methods for lake water volume changes from 2005 to 2020. The satellite altimetry-based method used water levels provided by the DAHITI (Database for Hydrological Time Serie

Coupling Downscaling and Calibrating Methods for Generating High-Quality Precipitation Data with Multisource Satellite Data in the Yellow River Basin

Remote sensing precipitation data have the characteristics of wide coverage and revealing spatiotemporal information, but their spatial resolution is low. The accuracy of the data is obviously different in different study areas and hydrometeorological conditions. This study evaluated four precipitation products in the Yellow River basin from 2001 to 2019, constructed the optimal combined product,

A combined extended triple collocation and cumulative distribution function merging framework for improved daily precipitation estimates over mainland China

Accurate monitoring of daily precipitation is essential for many applications, such as simulation and prediction of watershed water-related disasters. However, precipitation data from satellite and gauge-based precipitation products face challenges in capturing true observations because of their large uncertainties. To improve daily precipitation estimates, this study proposed a new merging framew

Role of land-ocean interactions in stepwise Northern Hemisphere Glaciation

The investigation of triggers causing the onset and intensification of Northern Hemisphere Glaciation (NHG) during the late Pliocene is essential for understanding the global climate system, with important implications for projecting future climate changes. Despite their critical roles in the global climate system, influences of land-ocean interactions on high-latitude ice sheets remain largely un

Holocene solar activity inferred from global and hemispherical cosmic-ray proxy records

Variations in solar activity have been proposed to play an important role in recent and past climate change. To study this link on longer timescales, it is essential to know how the Sun has varied over the past millennia. Direct observations of solar variability based on sunspot numbers are limited to the past 400 years, and beyond this we rely on records of cosmogenic radionuclides, such as 14C a

Sahara's surface transformation forced an abrupt hydroclimate decline and Neolithic culture transition in northern China

The remote forcing from land surface changes in the Sahara is hypothesized to play a pivotal role in modulating the intensity of the East Asian summer monsoon (EASM) through ocean-atmospheric teleconnections. This modulation has far-reaching consequences, particularly in facilitating societal shifts documented in northern China. Here, we present a well-dated lake-level record from the Daihai Lake

Basin-Scale Daily Drought Prediction Using Convolutional Neural Networks in Fenhe River Basin, China

Drought is a natural disaster that occurs globally and can damage the environment, disrupt agricultural production and cause large economic losses. The accurate prediction of drought can effectively reduce the impacts of droughts. Deep learning methods have shown promise in drought prediction, with convolutional neural networks (CNNs) being particularly effective in handling spatial information. I

The Advancement in Spring Vegetation Phenology in the Northern Hemisphere Will Reverse After 2060 Under Future Moderate Warming Scenarios

Global warming has largely advanced spring vegetation phenology, which has subsequently affected terrestrial carbon and water cycles. However, further shifts in vegetation phenology under future climate change remain unclear. We estimated the start of the growing season (SOS) by applying multiple extraction methods based on the NDVI3g data set, and then parameterized and evaluated 11 spring vegeta

Gigantic solar farms of the future might impact how much solar power can be generated on the other side of the world

The Sun’s energy is effectively limitless. While resources such as coal or gas are finite, if you are able to capture and use solar power it doesn’t prevent anyone else from also using as much sunshine as they need.Except that isn’t quite the full story. Beyond a certain size, solar farms become large enough to affect the weather around them and ultimately the climate as a whole. In our new resear

Estimating the Legacy Effect of Post-Cutting Shelterbelt on Crop Yield Using Google Earth and Sentinel-2 Data

Shelterbelts (or windbreaks) can effectively improve the microclimate and soil conditions of adjacent farmland and thus increase crop yield. However, the individual contribution of these two factors to yield changes is still unclear since the short-term effect from the microclimate and the accumulated effect from the soil jointly affect crop yield. The latter (soil effect) is supposed to remain af