Indian Ocean
US-led coalition issues warning to Houthis, vows 'consequences' for Red Sea attacks
Fox News chief national security correspondent Jennifer Griffin reports on shipping conglomerates rerouting their ships to avoid the Red Sea and U.S. Navy helicopters sinking three Houthi vessels on'Special Report.' A U.S.-led coalition of 13 countries issued a warning to Iran-backed Houthi rebels in Yemen on Wednesday, vowing consequences should the group continue attacks in the Red Sea. The U.S. was joined by the U.K., Australia, Bahrain, Belgium, Canada, Denmark, Germany, Italy, Japan, Netherlands and New Zealand in Wednesday's statement. The nations said that the destabilization of trade throughout the Red Sea is "unacceptable" and vowed consequences. "Ongoing Houthi attacks in the Red Sea are illegal, unacceptable, and profoundly destabilizing. There is no lawful justification for intentionally targeting civilian shipping and naval vessels. Attacks on vessels, including commercial vessels, using unmanned aerial vehicles, small boats, and missiles, including the first use of anti-ship ballistic missiles against such vessels, are a direct threat to the freedom of navigation that serves as the bedrock of global trade in one of the world's most critical waterways," the nations wrote.
Iranian media report at least 103 killed, 141 injured in explosions near grave of General Qassem Soleimani
Foreign Policy Adviser to Netanyahu Dr. Ophir Falk tells'Cavuto Live' that it could take Israel anywhere from a week to a year to'destroy Hamas.' A pair of explosions near the grave of Iranian general Qassem Soleimani killed at least 103 people and wounded up to 141 more in Kerman, Iran, according to Wednesday reports from Iranian media. Iranian officials say the explosions occurred during a ceremony honoring Soleimani on the fourth anniversary of his death. Soleimani was killed in 2020 at the hands of a U.S. drone strike ordered by then-President Trump. "The blasts were caused by terrorist attacks," Iranian media quoted a local official as saying, without accusing any specific party. "Several gas canisters exploded on the road leading to the cemetery."
Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning
Hammoud, Mohamad Abed El Rahman, Raboudi, Naila, Titi, Edriss S., Knio, Omar, Hoteit, Ibrahim
Data assimilation (DA) plays a pivotal role in diverse applications, ranging from climate predictions and weather forecasts to trajectory planning for autonomous vehicles. A prime example is the widely used ensemble Kalman filter (EnKF), which relies on linear updates to minimize variance among the ensemble of forecast states. Recent advancements have seen the emergence of deep learning approaches in this domain, primarily within a supervised learning framework. However, the adaptability of such models to untrained scenarios remains a challenge. In this study, we introduce a novel DA strategy that utilizes reinforcement learning (RL) to apply state corrections using full or partial observations of the state variables. Our investigation focuses on demonstrating this approach to the chaotic Lorenz '63 system, where the agent's objective is to minimize the root-mean-squared error between the observations and corresponding forecast states. Consequently, the agent develops a correction strategy, enhancing model forecasts based on available system state observations. Our strategy employs a stochastic action policy, enabling a Monte Carlo-based DA framework that relies on randomly sampling the policy to generate an ensemble of assimilated realizations. Results demonstrate that the developed RL algorithm performs favorably when compared to the EnKF. Additionally, we illustrate the agent's capability to assimilate non-Gaussian data, addressing a significant limitation of the EnKF.
Navy uses anti-ship ballistic missiles to engage Iran-backed Houthis in Red Sea
Reza Pahlavi, exiled crown prince of Iran, weighs in on Iranian threats to shut the Mediterranean Sea amid war with Israel and the threat America faces from the country and its proxies. The U.S. Navy fired anti-ship ballistic missiles on Tuesday against incoming Iran-backed Houthi missiles in the Red Sea, signaling a significant escalation in the region, a senior defense official told Fox News. The Navy engaged three ballistic missiles provided to Yemen's Houthis by Iran. It was the first time the Navy shot down an incoming ballistic missile using an anti-ship ballistic missile. The USS Laboon and assets from the Eisenhower Carrier Strike Group shot down 12 one-way attack drones, three anti-ship ballistic missiles and two land attack missiles fired by the Houthis over a 12-hour period, U.S. Central Command said.
Houthis say they carried out drone attack on Israeli port of Eilat
Yemen's Houthi rebel group has said that it carried out drone attacks targeting the Israeli port city of Eilat, as well as a commercial vessel in the Red Sea, as the Iran-backed group steps up attacks that it says are a means of pressuring Israel to end its war in Gaza. Speaking on Tuesday, Houthi military spokesman Yahya Sarea said the group conducted drone attacks on Eilat and "other areas in occupied Palestine". Sarea said the group also launched missiles at an MSC United vessel in the Red Sea after it rejected three warning calls. The statement comes several hours after a British maritime group said it received reports of an incident involving a vessel off the coast of Yemen, saying that drones were sighted and an explosion was heard. The United Kingdom Maritime Trade Operations (UKMTO) on Tuesday said the incident took place about 60 nautical miles (111km) outside of Yemen's Hodeidah port.
U.S. Strikes Iran-Backed Groups in Iraq After Attack on Base Injures 3 Americans
After Mr. Biden was informed of the Erbil attack on Christmas morning, he ordered the Defense Department to prepare response options, White House officials said. Later in the day, the president authorized strikes that were conducted around 8:45 p.m. Eastern time. Mr. Biden chose Kataib Hezbollah and affiliated facilities that had been used to launch unmanned aerial drone attacks, officials said. Last month, the United States struck an operations center and a command-and-control node south of Baghdad used by Kataib Hezbollah. The group's political wing is part of the coalition of Prime Minister Mohammed Shia al-Sudani of Iraq.
Japan-owned tanker attacked by drone fired from Iran in Indian Ocean
A Japanese-owned commercial tanker was attacked by a drone launched from Iran in the Indian Ocean on Saturday, causing a fire but leaving no one injured, the U.S. Department of Defense said. The Liberian-flagged, Netherlands-operated chemical tanker was struck about 370 kilometers off India "by a one-way attack drone fired from Iran," the Pentagon said in a statement, adding the fire on board has been extinguished. The Associated Press reported the tanker had ties with Israel, citing a British maritime security firm. The tanker, which was carrying 20 Indians and one Vietnamese, had left Saudi Arabia on Tuesday and was heading to Mangalore, southwestern India, according to the U.S. Defense Department and the Indian Coast Guard. But the vessel decided to head to Mumbai for repairs and to have the damage assessed with the assistance of the Indian Coast Guard.
Iran appears to have struck ship off Indian coast with UAV: US Official
Former CENTCOM Spokesperson and retired U.S. Army Colonel Joe Buccino discusses Iran's involvement in Houthi attacks and the U.S.' approach to deterrence and response. Iran appears to have struck a ship off the Indian coast with an unmanned aerial vehicle, a U.S. official told Fox News on Saturday. It comes as Houthi militants targeted multiple cargo ships on Saturday, as the group fired two anti-ship ballistic missiles into international shipping lanes located in the Southern Red Sea, according to U.S. Central Command. No ships were impacted by the ballistic missiles, officials said. The USS Laboon shot down four unmanned aerial drones on Saturday which originated from areas that the Houthis control in Yemen.
US imposes new round of sanctions on network involved in Iran's drone production
The United States on Tuesday imposed a new round of sanctions against 10 entities and four individuals for their involvement in procuring materials for the production of drones in Iran. The sanctions target a network spanning Iran, Malaysia, Hong Kong, and Indonesia led by Hossein Hatefi Ardakani, according to the U.S. State and Treasury Department. Ardakani and Gary Lam, who worked for a Chinese company, and their co-conspirators were named as defendants in a Justice Department press release. Unmanned aerial vehicles (UAV) drill held by Iranian army in Semnan, Iran on January 5, 2021. The U.S. said these individuals and entities were involved in the procurement of sensitive goods, including U.S.-origin electronic components, for one-way attack drones produced by the Islamic Revolutionary Guard Corps Aerospace Force Self Sufficiency Jihad Organization and its drone program.
Towards an End-to-End Artificial Intelligence Driven Global Weather Forecasting System
Chen, Kun, Bai, Lei, Ling, Fenghua, Ye, Peng, Chen, Tao, Chen, Kang, Han, Tao, Ouyang, Wanli
The weather forecasting system is important for science and society, and significant achievements have been made in applying artificial intelligence (AI) to medium-range weather forecasting. However, existing AI-based weather forecasting models still rely on analysis or reanalysis products from the traditional numerical weather prediction (NWP) systems as initial conditions for making predictions, preventing them from being fully independent systems. As a crucial component of an end-to-end global weather forecasting system, data assimilation is vital in generating initial states for forecasting. In this paper, we present an AI-based data assimilation model, i.e., Adas, for global weather variables, which learns to generate the analysis from the background and sparse observations. Different from existing assimilation methods, Adas employs the gated convolution module to handle sparse observations and the gated cross-attention module for capturing the interactions between observations and background efficiently, which are guided by the confidence matrix to represent the availability and quality of observations. Then, we combine Adas with the advanced AI-based weather forecasting model (i.e., FengWu) and construct the first end-to-end AI-based global weather forecasting system: FengWu-Adas. Experiments demonstrate that Adas can assimilate the simulated global observations with the AI-generated background through a one-year simulation and generate high-quality analysis stably in a cyclic manner. Based on the generated analysis, FengWu-Adas exhibits skillful performance and outperforms the Integrated Forecasting System (IFS) in weather forecasting over seven days.