The sparse and spatio-temporally discontinuous nature of precipitation data presents significant challenges for simulation and statistical processing for bias correction and downscaling. These include incorrect representation of intermittency and extreme values (critical for hydrology applications), Gibbs phenomenon upon regridding, and lack of fine scales details. To address these challenges, a common approach is to transform the precipitation variable nonlinearly into one that is more malleable. In this work, we explore how deep learning can be used to generate a smooth, spatio-temporally continuous variable as a proxy for simulation of precipitation data. We develop a normally distributed field called pseudo-precipitation (PP) as an alternative for simulating precipitation. The practical applicability of this variable is investigated by applying it for downscaling precipitation from \(1\degree\) (\(\sim\) 100 km) to \(0.25\degree\) (\(\sim\) 25 km).

Wood Mackenzie are the global research, analytics, and consultancy business powering the natural resources industry. For 50 years, we have been providing the quality data, analytics, and insights our customers rely on to inspire their decision making. Our dedicated oil, gas & LNG, power & renewables, chemicals, metals & mining sector teams are located around the world and deliver a variety of projects based on our assessment and valuation of thousands of individual assets, companies, and economic indicators such as market supply, demand, and price trends. We have over 1,900 employees in 30 locations, serving customers in nearly 80 countries. Together, we inspire and innovate the markets we serve – providing invaluable intelligence to help our customers overcome the toughest challenges, and make strategic decisions that will, ultimately, accelerate the world's transition to a more sustainable future.

Wood Mackenzie are the global research, analytics, and consultancy business powering the natural resources industry. For 50 years, we have been providing the quality data, analytics, and insights our customers rely on to inspire their decision making. Our dedicated oil, gas & LNG, power & renewables, chemicals, metals & mining sector teams are located around the world and deliver a variety of projects based on our assessment and valuation of thousands of individual assets, companies, and economic indicators such as market supply, demand, and price trends. We have over 1,900 employees in 30 locations, serving customers in nearly 80 countries. Together, we inspire and innovate the markets we serve – providing invaluable intelligence to help our customers overcome the toughest challenges, and make strategic decisions that will, ultimately, accelerate the world's transition to a more sustainable future.

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. Responsible for the analysis and assembly of construction related material, equipment, and labor pricing into real world estimating uses for the publication of building cost data in the United States and Canada. You will spend your time on analysis of a vast database of construction pricing including maintenance of existing items as well as creation of new items when warranted. You will also have user interaction by answering incoming emails and taking incoming phone calls from customers that have questions about the construction database.

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. In this role you will be responsible for managing the data engineering team, expanding and optimizing our data pipeline architecture, as well as enabling delivery of new data engineering products at increasing scale. The Lead Data Engineer will support Product Delivery, Engineering, Analytics, and all of our data scientists on various initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Infutor Data Solutions is the expert in Consumer Identity Management and Identity Resolution, offering award-winning solutions to a variety of brands and martech firms.

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. Our systems make it quick and easy for our over 20,000 customers to get real-time reports through one of several platforms. To learn more about iiX please visit us at: www.iix.com. We are proud to be a part of the Verisk family of companies!

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions. Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records.

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. The Data Engineering and Analytics Lab (DEAL) is a team of technical actuaries responsible for the design and implementation of our core statistical data-systems including data ingestion, data integration, data transformation, data analysis, and analytic dataset construction. We're an innovation group that is charged with visualizing the future of our organization's operations and leveraging our expertise in data, technology, P&C insurance, and process optimization to provide a first-class analytics environment to our data-collection, data-management, actuarial, and data-analytics colleagues. The DEAL team is looking to hire an experienced Lead ETL Data Engineer, ideally having a good combination of an analytical/innovative mindset, technical aptitude, business accumen, communication skills, and a passion for mentoring.

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. Education Level: Bachelor's degree in Computer Science, Engineering or a related subject In 2022, Verisk received Great Place to Work Certification for our outstanding workplace culture for the sixth year in a row and second-time certification in the UK, Spain, and India. For over fifty years and through innovation, interpretation, and professional insight, Verisk has replaced uncertainty with precision to unlock opportunities that deliver significant and demonstrable impact. From our historic roots in risk assessment, we've grown to provide analytic insights that help transform industries focused on some of the world's most critical areas.

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions. Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records.