Publication

Information content of prior hydrological knowledge in EGU visitors for streamflow prediction

Related publications (43)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Lyapunov Exponents for Branching Processes in a Random Environment: The Effect of Information

Sophie Myriam Hautphenne

We consider multitype branching processes evolving in a Markovian random environment. To determine whether or not the branching process becomes extinct almost surely is akin to computing the maximal Lyapunov exponent of a sequence of random matrices, which ...

Springer Verlag2016

Today businesses are facing radical transformations through digitalization of services and products. Accordingly, their ability to innovate is increasingly linked to the capacity to innovate through information and communication technologies (ICTs). This a ...

2016

Livret "La Sensi à l'information Literacy"

Aurore Fanny Granval, Noémi Valérie Suzanne Cobolet

Prenez la route avec nous pour découvrir l'Information Literacy. En suivant ce parcours de sensibilisation, vous découvrirez les différents enjeux liés à la maîtrise de l'information. ...

2015

Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models

There remains a great deal of uncertainty about uncertainty estimation in hydrological modeling. Given that hydrology is still a subject limited by the available measurement techniques, it does not appear that the issue of epistemic error in hydrological d ...

Asce-Amer Soc Civil Engineers2015

MEM0R1ES: Memory-based Information Systems

Michele Catasta

The advent of the Web reshaped the way in which humans memorize information, arguably unlike any other technological advance of the last decades. Rather than remembering the information itself, people are primed to find the needed information through Web s ...

EPFL2015

Latent Social Information in Group Interactions with a Shared Workspace

Himanshu Verma

Shared artifacts, such as drawings and schemas on whiteboards, sticky-notes with ideas on walls, are often created and interacted with during meetings. These shared artifacts a) facilitate the expression of complex fleeting ideas, b) enable collaborators t ...

EPFL2015

StoreSim: Optimizing Information Leakage in Multicloud Storage Services

Karl Aberer, Rameez Rahman, Hao Zhuang

Many schemes have been recently advanced for storing data on multiple clouds. Distributing data over different cloud storage providers (CSPs) automatically provides users with a certain degree of information leakage control, as no single point of attack ca ...

2015

Prediction in environmental systems, such as hydrological streamflow prediction, is a challenging task. Although on a small scale, many of the physical processes are well described, accurate predictions of macroscopical (e.g. catchment scale) behavior with ...

2014

, ,

When inferring models from hydrological data or calibrating hydrological models, we are interested in the information content of those data to quantify how much can potentially be learned from them. In this work we take a perspective from (algorithmic) inf ...

Copernicus Gesellschaft Mbh2013

This paper presents an information--theoretical method for weighting ensemble forecasts with new information. Weighted ensemble forecasts can be used to adjust the distribution that an existing ensemble of time series represents, without modifying the valu ...

Elsevier2013